This PDF file contains the front matter associated with SPIE Proceedings Volume 12058, including the Title Page, Copyright information, and Table of Contents.

The development of low carbon public transport has become an important issue in China's development. Taking the urban space of subway station as the research object, an evaluation system can be constructed to evaluate its current status. Through referring to relevant literature and field investigation to determine the relevant influencing factors. The comprehensive evaluation system was constructed by the analytic hierarchy process (AHP), and the weight calculation and importance ranking of the 14 indexes included in the three categories of land use, road traffic and public service were carried out. Taking Kunming as an example, this paper evaluates the urban space based on the data of points of interest obtained, and puts forward the corresponding optimization strategy. In order to provide a reference for urban low-carbon transportation research.

In order to work out the transportation policy that meets the residents' needs, it is necessary to investigate the residents' travel modes, and obtain the residents' choice intentions for various modes of transportation. In this paper, processing the variables such as personal characteristics and travel characteristics of representative samples to establish the selection model of residents' travel, obtain the important influencing factors of residents' travel and analyze their potential relationships. On the basis of this model, the paper further analyzes the controllable factors, puts forward the control direction for traffic planning or traffic policy control, increases the proportion of residents traveling by public transportation, and alleviates the prevailing traffic problems in China at present.

Urban water environment problems caused by rapid urbanization in China have attracted more and more attention in recent decades. Taking Foshan water system planning as an example, this paper summarizes the natural features and management of river network of highly urbanized areas in the Pearl River Delta, and studies what the difficulty and key issues we facing in the water system planning. The research content a number of planning measures, including the water function zoning, shoreline use, waterfront construction and management, etc. The purpose is to explore the improvement of water system planning so as to create a safe, ecological, prosperous and sustainable city.

In order to timely understand the current situation and the practical problems of the development of rural logistics network system construction in China in the new period, and explore the rural logistics development countermeasures of the construction of the network node, the level, number, characteristics and the development regularity of rural logistics network nodes were analyzed. In addition, the classification of rural logistics transport organization mode was divided, through the methods of fieldwork, questionnaire research, document survey. The idea of promoting the development of rural logistics in China was put forward, which provides reference for promoting the construction of rural logistics network system in China.

Based on Wuhan's available satellite data and official statistics, this paper evaluates the level of urban agriculture function in 13 districts of Wuhan. According to the data of land-use change in all the districts of Wuhan to explore the differences between the urban agricultural function and land use and the development direction of urban agriculture and land use demand under the different relationships between land use in Wuhan and urban agricultural function level. These studies are helpful to understand the law of development of urban agriculture in different regions in a mega-city Like Wuhan, to achieve the sustainable development of urban agriculture.

In recent years, the scale of urban rail transit passenger flow has been continuously increasing, and the difficulty of operation organization has also increased. Faced with the significant spatial-temporal imbalance and sudden characteristics of passenger flow, train dispatchers need to analyse the unbalanced areas of capacity and passenger demands accurately, and adopt adjustment measures in time to ensure smooth and efficient operation. Based on the difficulties in the operation of urban subway, the on-line evaluation method of adaptability between passenger flow and train flow was proposed in this paper. Firstly, the process of passenger travels and the evolution characteristics of three types of passenger flow was analysed, including in-station passenger flow, transfer-in passenger flow and platform passenger flow. Secondly, the online evaluation method was proposed based on the characteristics of passenger flows and the change principle of train capacity. The method includes four stages: dividing train service time slice based on train diagram, calculating passenger demands based on short-term forecast passenger flow, calculating passenger retention based on train capacity limitation, calculating the index of train capacity utilization and the index of passenger flow. Finally, the method was verified by taking Line 3 in a western city of China as an example.

The response characteristics of the high-pressure common rail injector affect the fuel injection characteristics of the diesel engine, which in turn affects the engine's power and emission performance. This paper takes the high pressure common rail injector as the research object, uses the AMESIM to simulate and analyze the high-pressure common rail injector. Optimization Design the four key structural parameters and selected the optimization plan. By comparing the results of the injection law curve and the cycle injection quantity, it determined that the optimization plan is close to the actual demand value of the project, which proves the rationality of the optimization plan.

In view of the current situation that the anti-runway intrusion system is mainly for tower controllers, this paper proposed a Preventing Runway Incursions system based on runway status lights for controllers, pilots, vehicle drivers, and airport operation and maintenance personnel. Through the communication method of the single-lamp monitoring system, runway status light control decision-making, stop bar and acousto-optic warning device control logic, a Preventing Runway Incursions system based on runway status lights was designed, which can satisfy the standard and high reliability, and is applied in a northwest airport. Its system function and response time were tested by vehicle simulation and video frame by frame analysis, and the system design was verified.

The COVID-19 epidemic is spreading globally, and the efficient operation of emergency logistics can effectively reduce the harm caused by the epidemic. Considering the characteristics of COVID-19 and the speed of response required by emergency logistics, this paper takes the COVID-19 epidemic as the background and the circulation of medical supplies as the research object, constructs the operation framework of emergency logistics, designs the operation process of emergency logistics under the COVID-19 epidemic, and makes a detailed analysis of each link. It is expected to provide a reference for improving the emergency management system in China.

In recent years, under the global trend of new energy, with the support of the state for new energy vehicle industry, power lithium-ion battery has been developing rapidly in China. However, at the same time, the safety disadvantages of power lithium-ion batteries are also revealed, because of the high-ratio energy, large volume, high voltage and so on. In the transport process, once an accident occurred, it’s often more harmful, in which explosion and combustion is the biggest safety problem in the power lithium-ion battery transport. Therefore, the risk factors of road transport safety of power lithium-ion battery, as well as the existing problems are analyzed, and some suggestions are put forward to improve the supply chain safety of power lithium battery.

Takeoff is the most accident-prone phase of flight operation. It is necessary to assess the takeoff risk levels for every flight according to the operation conditions to avoid accidents. However, there is no recognized assessment standard for takeoff risk levels in the field. In this paper, we propose a takeoff risk level classification method based on selective ensemble clustering. First, we use multiple heterogeneous base clusterers to cluster the flight takeoff data respectively and obtain different cluster division results. Then, the selective cluster ensemble method is used to relabel the cluster labels generated by all base clusterers, so that similar clusters have the same label. Finally, these calibrated cluster markers are used to generate the final ensemble clustering result, i.e., the classification of risk levels. Experiments on actual operating data sets show that the proposed flight takeoff risk classification result based on selective ensemble clustering is more general. The assessment performance is better than that of a single clusterer.

Transport demand of hazardous chemicals is growing along with the development of Chinese society and continuous growth of Chinese chemical enterprises. Therefore, transport of hazardous chemicals is becoming important gradually, and it is necessary to strengthen risk control for road transport of hazardous chemicals, thereby laying a foundation for more effective transport risk control. This paper assessed risks of domestic road transport system of hazardous chemicals with analysis method, and constructed human factor, mechanical equipment factor, management factor, specific factor of hazardous chemicals, risk factor, environmental factor, etc. These were the main body of the risk assessment system of road transport system of hazardous chemicals. Finally, risks of road transport system of hazardous chemicals were assessed with paired analysis method, and decisions and methods were proposed for risk control for road transport of hazardous chemicals based on analysis and assessment results of assemblies.

1. This paper summarized the industrial agglomeration in cities along the Yangtze River-The Grand Canal. 2. Based on the industrial agglomeration, the corresponding logistics demand was conducted. 3. The logistics system based on inland waterway transport was planned to connect the above-mentioned industrial clusters. 4. The economic value of the logistics system above was demonstrated, and the technical solutions were given based on the key technical nodes.

Exploring the spatial pattern evolution characteristics of the Yangtze River Delta (YRD) ports group is of great significance to promote the coordinated development of the ports group. This study takes 31 ports in the YRD region as the research object and uses the GIS method to analyze the spatial pattern evolution of the YRD ports group from 2008 to 2020. The results show that from 2008 to 2020, the gravity center of the YRD ports group tends to move northwest-northwestsoutheast along the main axis, which indicates that the development speed of the ports in the southeast is faster than that of the ports in the northwest; and the spatial distribution of the YRD ports group has an obvious positive correlation, but the correlation degree is low and increases gradually. The local agglomeration effects are significant, with the high-high clustered areas distributed in the Ningbo-Zhoushan Port, Shanghai Port and Suzhou Port, and the low-low clustered areas distributed in Anhui inland port. However, with the integrated development of the YRD, the differences in the development of large ports in Southeast YRD are narrowing, and the dual polarization between Anhui ports and ports in the southeast is becoming more and more obvious.

In the process of urban construction, people pay more attention to the construction of broad roads, which leads to a large number of vehicles gathering on the road, cannot be evacuated in time and causes congestion. The purpose of building a high-density road network is to improve the structure of the road network and relieve traffic congestion. Therefore, the near intersections under the high-density road network are the key to relief traffic congestion. Firstly, after analyzing the characteristics of high-density road network, a small two-way regional road network is established, and the intersection spacing is 200m. Then propose accurate solutions to coordination problems and traffic signal coordination organization of the regional road network. Secondly, a variety of timing signal coordination methods are applied to the two-way road network, then the traffic organization form of the road network is changed, the total traffic input of the road network with different organization forms is controlled to be the same, and then the corresponding signal coordination optimization is carried out. Finally, the VISSIM simulation results are used to compare the coordination schemes, and the best coordination scheme in the small area road network is selected to improve the traffic operation efficiency.

Collect relevant information on China's container shipping routes, count the connections of 47 Chinese container ports, build an undirected and unauthorised China container port network, analyze the port importance of China's container port network by using the node contraction method, and evaluate the status of each port in the port network. The results show that Shanghai, Shenzhen, Hong Kong, Qingdao, Ningbo Zhoushan and other ports are hub ports in the port network, and the node contraction method can effectively evaluate the location advantages of ports in the network.

Based on evolutionary game theory (EGT), a tripartite evolutionary game model of port ecological construction under reward and punishment mechanism and public supervision is constructed. The purpose of the building model is to improve the regional port economy’s sustainable development and build a new development pattern of international and domestic dual cycles connected by ports. From the model calculation and software simulation, it can be seen that when the stable equilibrium conditions of the evolutionary game are different, so are the final choice strategies of the three parties of the port ecological construction game. Conditional on the determined parameters, the results of the evolutionary strategies of the game parties are not related to the size of the initial value. Therefore, it is beneficial to improve the regulatory system, costs, and policies of ports, as well as social monitoring procedures, to form the best development model for port ecological construction.

LPG tanker accident will lead to LPG leakage, LPG leakage into the air will immediately spread. The quality and wind velocity of leakage are the main factors affecting the diffusion of leakage. Fluent software is used to simulate the leakage and diffusion of LPG tanker tanks under the working conditions of leakage mass of 3 and 5kg/s and wind velocity of 0, 3 and 5m/s. The results show that the greater of leakage mass, the wider the area of fire and explosion will be, and the longer the disaster lasts. The greater the wind velocity, the wider the area of fire and explosion. According to the results, the corresponding emergency disposal procedure of LPG tank truck leaks accident is put forward.

In order to improve the efficiency of port state control (PSC), a method of ship defect diagnosis based on adaptive Apriori algorithm is proposed. The effective rule rate of ship defect is 100%, and the effective rule rate of ship defect is 78%. It is proved that the application of adaptive Apriori algorithm in ship defect diagnosis is scientific. The generated association rules can provide basic guidance for PSC inspection to improve inspection efficiency and promote maritime safety.

The domestic passenger points layout method of some normally operating city was analyzed in this paper by introducing potential point importance on the regular COVID-19 prevention and control stage. In the case of the abnormal operation scenario of a sudden COVID-19 epidemic in a certain place in the future, a normal operating city with a transport airport in China is taken as the research object, focusing on all the potential destination cities in China. This paper comprehensively considers the key influencing factors such as epidemic prevention and control policy, comprehensive transport demand and comparative advantage of civil aviation, and puts forward the destination importance index to quantitatively evaluate the layout order of each potential destination. Following the qualitative layout principle of the combination of important priority and balanced development, a "two-step" domestic passenger points layout method is established. The empirical analysis shows that for a city owning 30 domestic passenger points in China, within one month after the outbreak of COVID-19 epidemic in Shenyang, Yingkou and Hefei, 10 new domestic passenger points are added to achieve the development goal of domestic passenger route network, and the "two-step" domestic passenger points layout method is feasible and effective.

At this stage, traffic problems in urban areas such as traffic congestion and traffic accidents occur frequently. Road intersections, which are important nodes of urban roads, often form the source of these problems. Solving the traffic conditions at road intersections has a positive effect on improving the traffic conditions of the entire road network. This paper uses VISSIM traffic simulation software to conduct field surveys and surveys at the intersection of Taishan Street and East Wangyue Road, and use these data as a basis to simulate the intersection. Then we analyze and evaluate the output data, describe the traffic conditions at the intersection, and find out the cause of the traffic problem at the intersection. According to the analysis reasons, the actual situation and the feasibility of the operation, an optimization plan (intersection channelization plan and signal light timing plan) is proposed. The optimized road intersection was simulated again, and the feasibility and effectiveness of the optimization plan were judged by comparing the simulation results before and after optimization.

According to the overall requirements and situation orientation of China transportation power, the advantages and important roles of domestic river transportation development are resorted out, the development experience and effectiveness are summarized, the main problems currently faced are analyzed, and suggestions for the next step are put forward, so as to provide necessary decision-making reference for the high-quality development of inland water transportation in the new period.

In recent years, with the continuous acceleration of the transformation and upgrading of domestic coastal ports and the cities where the ports are located, as well as the rapid advancement of the integration of port resources and the adjustment of port functions, the relationship between China's coastal ports and the cities where the ports are located is entering a new stage of development. Therefore, it is of great significance to objectively analyze the collaborative evolution relationship between China's coastal ports and cities to guide the high-quality development of China's coastal ports and cities. This paper takes 20 major coastal ports and cities where the ports are located as examples, builds a model for the coordination degree of the port-city complex system, and calculates the degree of coordination between the two subsystems of the port and the city where the port is located and the port-city complex system from 2010 to 2018. According to the experimental data, suggestions are put forward to promote the high-quality development of China's coastal ports and port cities.

In order to meet the high-efficiency traffic demand on urban arterial traffic roads in the future, a vehicle-road coordinated control method is proposed. First, the arterial intersection signals control and vehicle trajectory control are combined to minimize vehicle delays and reduce fuel consumption and emissions considering the differences between the two modes of transportation of buses and cars on arterial roads. Then, the bus dwell time model is used to control the waiting time of the bus at the platform to improve its service level. Finally, through micro-simulation analysis, three schemes of Webster single intersection control, MAXBAND coordinated control and coordinated control are compared. The results show that under the condition of high traffic volume, the average travel time of vehicles under the condition of coordinated control is reduced by 22.82% and 12.94% respectively, the fuel consumption is reduced by 16.67% and 22.51% respectively and the average bus stops’ service time is increased by 102.40% and 104.84% respectively. Therefore, the coordinated control proposed in this paper can better reduce vehicle delays and energy consumption, and improve the quality of bus service.

The aircraft trajectory provided by Automatic Dependence Surveillance (ADS-B) system has severe jitter, which cannot meet the requirements of Augmented Reality (AR) system for aircraft tracking registration. Aiming at this problem, a trajectory reconstruction based on map matching and polynomial fitting (TR-MMFT) method is proposed. The TR-MMFT method firstly uses map matching to map the points of the trajectory to the path, then uses the polynomial fitting method to estimate the parameters of the distance-time curve based on those points constrained on the path, and finally reconstruct the points along the road according to the fitting results to obtain a new set of trajectory points. The simulation and experimental results show that the TR-MMFT method can well reflect the variation of the aircraft's distance and velocity on the basis of path constraint. TR-MMFT method is a very effective trajectory reconstruction method.

The spread of the COVID-19 epidemic in 2020 has extremely serious negative impacts on the global freight supply chain with regional port groups as its core. In order to reconstruct the global freight supply chain as soon as possible, alleviate the vicious competition of regional port groups and promote the development of regional integration, the advantages of port integration are increasingly prominent. To this end, based on Gounod's game theory, a three-stage game model of port integration is constructed with the overall objective of obtaining the maximum economic benefits for the regional port group, based on the current characteristics of the global freight supply chain impacted by the COVID-19 epidemic, and empirical analysis is conducted using the data of the Liaoning port group, and the reverse induction method is used to quantitatively analyze the specific impact of regional port integration on the economic benefits of the port and determine the performance of the regional port group under the background of the epidemic The theoretical basis is laid for the rational decision of port managers. The calculation results show that there is a threshold effect in the integration process of the Liaoning regional port group, and the gradual deepening of the integration of the Liaoning regional port group can effectively mitigate the negative impact of the COVID-19 epidemic on the regional port group.

Energy is closely related to people's lives and production. If the power supply suddenly interrupts affect the normal functioning of society, the Lifeline system may be paralyzed. Power resources have a huge impact on daily life, largescale events, and sporting events. Electricity emergency supplies as an essential part of the emergency rescue of electricity emergencies, if there is no perfect power emergency material dispatch system, local power emergencies will affect the power supply in large areas, if not mentioned before doing scientific forecasting, warehousing, and dispatch work will cause irreparable losses. This article examines the power emergency material dispatch system, including the concept and classification of electrical emergency materials, power emergency material scheduling principles and influencing factors analysis, power emergency material scheduling mechanism and operation mode, and provides theoretical guidance for the dispatch plan.

We analyzed the current problems faced by China's emergency logistics and material support system and the development of blockchain technology. We found that the core technology and characteristics of blockchain have a coupling relationship with the emergency logistics supply chain in four aspects: information sharing, supply chain coordination, donation transparency, and material traceability. Therefore, we have constructed an emergency logistics and material support system model based on blockchain applications. Under the application of blockchain technology, we discussed the specific construction measures of the emergency logistics system in three aspects: the intelligent development of the emergency supply chain, the construction of the material support system, and the traceability and anti-counterfeiting of emergency material information. We found that blockchain technology can make up for the shortage of China's emergency logistics development. With the help of blockchain, China's emergency logistics can develop rapidly and better respond to public emergencies.

Blockchain technology has been the focus of attention from all walks of life in recent years, and "blockchain + shipping" has set off a wave. In order to explore the advantages of blockchain technology in the shipping industry, this article adopts the SWOT-PEST analysis method to start from the aspects of politics, law, economy, science and technology, and social and humanities. We analyze the disadvantages, opportunities and threats, and use the SWOT-PEST method to determine 4 combination strategies of growth, diversification, reversal, and defense. Through the FAHP analysis method, we can select the strategy that is most in line with the current shipping development from the four combination strategies.

Urban rail transit network plays an important role in residents' daily travel. Strengthening the protection of important stations is of great significance to ensure the efficiency of urban operations. The importance of the station is affected by many factors, and it is difficult to carry out quantitative analysis. This paper takes the Shanghai urban rail transit system as an example, carries out static and dynamic invulnerability experiments the network, and discusses the relationship between station importance and node degree, betweenness and closeness.

This paper firstly identified the risk factors of the port infrastructure investment environment under the background of PPP (public-private partnership), and constructed the first-level index risk evaluation index system. The weight of the indicators was then determined using the Delphi method, and the indicators were graded according to questionnaires and generally accepted rules for ranking. Finally, taking the infrastructure project of Zhenhai Harbor District in Ningbo as the research object, the risk evaluation model of port infrastructure investment is established by the method of expert investigation and the fuzzy comprehensive evaluation. The results showed that the overall risk of the infrastructure project of Zhenhai Harbor District in Ningbo is moderate, and among all the first-class index risk factors, the operational risk and master/marine pilot’s risky behaviour are high risks, effective control should be given first; of all the secondary indicator risk factors, the division of rights and responsibilities between the two sides is the riskiest. Under the mode of public-private partnership, the risky factors in the process of port construction and operation should be monitored in real-time, and effective risk control measures should be taken.

Customized bus aims to advocate green travel, energy conservation and emission reduction, and has the nature of social public services, which has attracted wide attention in recent years. This paper takes the customized bus in Jiading District of Shanghai as the research object, sorts out the characteristics of customized bus lines in Jiading District, identifies its role in urban commuting traffic, and discusses the supplementary role of customized bus lines to the normal bus network. Summarize the characteristics of customized buses, determine the main tasks of customized buses in Jiading District in the future, and put forward suggestions for the development of customized buses in Jiading District from three aspects: area selection, line network and station layout, and fare setting.

Urban subway systems are confronted with various factors, including man-made or natural disasters, that will lead to service disruption. In recent years, as the consequence of subway failure is barely affordable, the vulnerability analysis of metro system has become popular in studies. This paper proposes to measure the differences of vulnerability caused by different route planning choices. In this paper, a directed and weighted network based on passenger flow is reconstructed with the metrics that represent the paths’ and network’s attributes. The definition of network vulnerability is put forward and applied in the case study of Washington DC’s subway. Through the analysis for the vulnerability of the network with four different new routes added separately, the results show that the decrement of vulnerability varies severely with different route planning choices. The results of this paper indicate the necessity of considering network vulnerability as an important factor in subway route planning.

This paper introduces the multimodal capacitated hub location problem with multiple demand classes for the many-to many transportation and distribution systems. This problem integrates multiple practical features of the hub location problems by considering multiple allocation, multimodal transportation, capacity at hubs, delivery-time limits and multiclass demands. The proposed problem aims to minimize the total cost containing the fixed cost of establishing hubs with different modes and the routing cost of commodities with different classes between the origin-destination pairs. Finally, a mixed-integer linear programming model for the proposed problem via a linearization technique is formulated and the computational experiments are carried out based on the well-studied Turkish network.

Following the rapid development of urban rail transit, networking operation will be an inevitable trend for rail transit. How to formulate reasonable train dispatching program and achieve total optimal efficiency has become the key issue to be addressed. The cross-line operation of the subway can effectively reduce the transfer station pressure and improve the service quality. This paper studies the train schedule optimization problem under the cross-line operation mode for a subway network, where the time-dependent passengers demand is considered. A mixed integer linear optimization (MILP) model is formulated with the objective of minimizing the passengers travel times and train operating costs. A genetic algorithm (GA) is designed to obtain high-quality solutions. The computational results illustrate that adopting cross-line operation can reduce the total travel time of passengers by 49.3% and train operating costs by 62.5%.

This paper addresses the path planning problems for recommending parking spaces, given the difficulties of identifying the most optimal route to vacant parking spaces and the shortest time to leave the parking space. Our optimization approach is based on the entropy method and realized by the A* algorithm. In this algorithm, several evaluation indexes are introduced to make the algorithm more sensitive to environmental changes. Simulation experiments have shown that the combination of A* and the entropy value induces the optimal parking solution with the shortest route.

The matching between jobs and workers is an important factor for job accessibility. But few researchers consider it especially on a fine-grained scale with online open data. This paper measured the job accessibility in Beijing considering the matching between different kinds of population and jobs by applying the 2-step floating catchment area method. We studied both the general job accessibility and the accessibility of low-income jobs and high-income jobs accessed by people in low housing price areas and high housing price areas respectively. The results show that the distribution of job accessibility in Beijing presents an uneven pattern. Furthermore, the matching has great impacts on job accessibility and the mismatch between different kinds of population and jobs does exist. Thus, it is imperative for the government and planners to decentralize more low-income jobs to suburban areas and provide efficient public transport to connect them with local residents.

As an important segment of the new energy vehicle promotion in the transportation industry, the new energy logistics vehicles have formed the scale development. Based on directory released by the Ministry of Industry and Information Technology, and combined with the operational requirements in the field of logistics and distribution, from the three aspects of industrialization status, electrification status and cost status, the current situation of the development of new energy logistics vehicles and the development of main technical performance indicators of vehicles are analyzed. Then, from the angle of policy, technology and application, the main factors that restrict the promotion and application of new energy logistics vehicles are put forward, and finally provided the corresponding development proposal.

To alleviate the congestion of the passenger flow in the station, improve the passenger service level of the urban rail transit station. Based on the characteristics of passenger mustering and evacuation, this paper establishes a passenger traffic behavior model based on social forces to discover key bottlenecks in passenger flow. At the same time, a set of urban rail transit station passenger distribution capacity mustering and evacuation systems is proposed to evaluate and optimize its traffic flow. Taking the morning peak at the Gangding rail station in Guangzhou as an example, Massmotion software was used for simulation modeling to determine the bottleneck points that affect the distribution of passenger flow, and targeted countermeasures were put forward. The simulation results show that the cost of pedestrian queuing time has been reduced by 35.44% after optimization, and the local congestion index at the concourse and platform levels has been reduced by 16.06% and 25.66%, respectively. The simulation of passenger mustering and evacuation behavior provides a targeted and systematic research idea for alleviating the congestion of passenger flow in the station and improving the service level of passengers.

Drone is known as a small and flexible green vehicle and is a potential contributor in improving efficiency in the field of inspection, however, due to the limited battery life of drone and the lack of relevant solutions, drone has not been widely used in the field of inspection. For this reason, we base our routing planning for drone patrols on existing base stations, to ease the difficulties of the limited battery life of drones, expand the scope of patrol, and vigorously promote the work mode of drone patrolling in the later stage. Unlike the simple vehicle routing problem, however, designing drone’s vehiclerouting is a challenging due to the problem of drone cannot go back to the initial base station. Therefore, we construct a mathematical model to solve the problem, and then a small calculation example is solved with CPLEX to verify the applicability of the model. Finally, based on our research results, it can have a certain reference value for the later promotion of the application of drones in the field of drone patrol.

The state emphasizes the unimpeded domestic circulation, which puts forward new requirements for promoting the highquality development of the Yangtze River shipping, optimizing the transportation market, adjusting the transportation structure and innovating the transportation organization. Taking the Yangtze River bulk cargo transportation as an example, this paper analyzes the volume demand of coal and metal ore in the Yangtze River, and determines the impact of supplyside structural reform on the substitution of water transportation modes. On this basis, summarizes the main route transportation pattern and applicable ship types, and puts forward the relevant suggestions to promote the development of the Yangtze River bulk cargo transportation organization. This study can provide necessary support for the development of the Yangtze River water transportation organization in the new era.

In recent years, the urban public transit system has been faced with problems such as low operating efficiency and low passenger load percentage, and thus the reliability and attractiveness of transit lines have gradually decreased. The primary task to solve the above problems is to obtain accurate future data of passenger flow. However, due to the diversity of residents' travel choices, the fluctuation of flow during peak hours is more obvious and thus prediction is more difficult. Based on existing passenger flow forecasting models, this paper starts from two perspectives of passenger flow volatility and prediction status. Based on moving average method, Markov model is used to modify the prediction results. An example is given by using historical data of Bus Line 16 in Beijing, which proves the performance of the mixed model is better than traditional models at peak hours. The results can provide basic data support for bus operation companies to formulate high-quality timetabling and scheduling.

With the continuous development of urban agglomerations, the exchanges between different cities have become closer and the demand for intercity travel is increasing. Intercity travel faces two important issues: environmental pollution and the mismatch of time and space between supply and demand. By establishing a bi-level planning model, this paper describes the management of intercity travel by the government and railway enterprises. In the upper model, the government implements environmental protection subsidies for high-speed rail fare to reduce environmental pollution and the railway enterprise adjusts fare and service frequency to solve the problem of mismatch between supply and demand. In the lower model, passengers choose the transportation mode with the lowest generalized trip cost to achieve equilibrium in the end. The conclusion is that the joint participation of the government and enterprise is more effective than the management of a single party.

Severe convective weather is an important cause of flight delays. Evaluating the impact of severe convective weather on airport dynamic capacity is one of the important ways to improve flight regularity. This paper systematically introduces the current quantitative analysis methods of the impact of convective weather on air traffic and the periodic pattern analysis method of the impact of convective weather on airport dynamic capacity, describes the related research and key technologies of airport dynamic capacity evaluation methods under the influence of convective weather, and provides an outlook on incorporating convective weather effects into the air traffic evaluation index system to accurately assess airport dynamic capacity.

In order to improve the ability of urban agglomeration traffic network to resist sudden disasters, this paper constructs railroad coupling traffic network and its capacity optimization framework by considering the impact of cascading failure. Then network invulnerability is optimized by adjusting site resources. Firstly, rail-road coupling traffic network model and cascading failure model are constructed based on the characteristics of rail and road networks, and random attack strategy and invulnerability measurement indexes are defined. Secondly, this paper improves particle swarm optimization with adaptive mutation (MPSO) based on initial position mapping, inertia weight and mutation strategy, and further constructs node capacity optimization based on the MPSO. Finally, taking Hu-Bao-E-Yu urban agglomeration as an example, the node capacity optimization algorithm is simulated, and its invulnerability is tested. The results show that the MPSO algorithm has high convergence accuracy and speed, and can overcome premature convergence. Simultaneously, the network optimized by PSO and MPSO algorithm shows better invulnerability than unoptimized network and the optimization effect of MPSO is more prominent.

With the continuous expansion of the size of the city and the increasing traffic volume, the traditional roundabout traffic organization model can not meet the requirements of the crossing capacity. At present, some roundabouts have traffic jams and frequent traffic accidents. Based on the field investigation of the roundabout between Huaguang Avenue and Tushan Road in Lucheng City, this paper analyzes the problem, puts forward three optimization measures, puts forward the optimization idea and improvement strategy of the intersection from the perspective of organization drainage, and uses traffic simulation software to take the travel time and pass capacity of the intersection as the optimization target, and the results show the feasibility and efficiency of this kind of transformation design idea.

Channel navigation efficiency affects the overall development level of the port. Ship traffic organization optimization is an effective measure to improve channel navigation efficiency. Taking the total waiting time of ships as the optimization goal, this paper aims to reduce the detention time of ships, improve navigation efficiency, establish relevant traffic organization optimization models, and solve them by improved grey wolf algorithm. The results show that the proposed two-way channel ship traffic organization model and algorithm can improve the overall navigation efficiency under the condition of ensuring navigation safety, which not only facilitates the ship, but also brings more profits to the port.

The High-speed railway automatic operation system plays an important role in controlling train operation and its function is related to the safety of automatic train operation. As an important part of the on-board subsystem to ensure the safety of train operation, it is necessary to model and analyze its reliability and safety. In view of the complex calculations of traditional reliability analysis methods and the difficulty of analyzing common cause failures, this paper analyzes the functional structure of the on-board subsystem of the High-speed railway automatic train operation system. Through the mapping relationship between the fault tree and Bayesian network, the Bayesian network model of the on-board subsystem is established, and the reliability of the on-board subsystem of High-speed railway automatic train operation system is modeled and analyzed. In this paper, the α factor model is used to quantitatively analyze the common cause failures of the on-board subsystems, and then the reliability analysis model of the on-board subsystems considering common cause failures is established by adding common cause failure nodes. The results show that the two-way inference ability of Bayesian networks can be used to analyze the availability and weaknesses of on-board subsystems. Through the continuous accumulation of common cause failure data of on-board subsystem, the quantitative analysis results of the α factor model are more in line with the actual failure rate.

The transportation of dangerous chemical cargo is an important part of sea transportation. Due to the special physical and chemical properties of the cargo and the complexity of the behavior and environment in the shipping process, the uncertainty of transportation safety is very high. This study introduces the brittleness theory of complex systems into the study of maritime dangerous chemical transportation systems. By introducing brittleness link entropy, it reveals the brittleness relationship between maritime dangerous chemical transportation systems and subsystems, and establishes a brittleness correlation model based on the brittleness correlation between systems. The research calculates the brittleness link entropy between the systems to explore the impact of the correlation between the systems on the brittleness excitation of the entire system and lead to collapse. The calculation results of specific cases show that the instability of human factors and ship factors are important reasons for the fragility of the system. When the safety management of the maritime dangerous chemical transportation system is carried out, the fragility factors related to human factors and ship factors should be improved. An important way to prevent accidents and reduce the impact of related sub-factors is to reduce the identity and volatility of the sub-factors.

With the increase in the market demand for fresh products, more and more attention is paid to the optimization of port collecting and distributing network of fresh products. An optimization model based on cargo damage cost and time penalty cost is established in this paper. The model is applied to a case, and the result of the model is worked out by genetic algorithm. The result shows that the railway transportation plays an important role in fresh products collection and distribution system at the port. The increase of railway transportation capacity can not only reduce the total cost of the fresh products collection and distribution system, but also reduce the cargo damage in the process of fresh products transportation.

Vehicle routing problem (VRP) is a practical problem with important value and significance in the logistics industry. Most of the existing mathematical simulation models and algorithms for solving the models focus on the combination of the shortest distribution path problem of electric vehicles with distance and time windows. This article starts from reducing energy consumption, saving resources, and reducing costs, and focuses on the research of electric vehicles. The shortest distribution path also considers the mathematical modeling and solution of the load. In order to accelerate the evolution, a genetic algorithm of evolutionary reversal operation is proposed. The above research results are conducive to reducing costs and saving resources in the process of adopting electric vehicle distribution for logistics enterprises.

With the rapid development of modern economy, logistics distribution accounts for a large part; In addition, the demand of customers is becoming more and more diversified, and customers have higher requirements on the accuracy of delivery time. Ant colony algorithm is a kind of intelligent algorithm, because it uses the positive feedback principle, the optimization speed is fast, the convergence speed of the optimal solution is relatively fast. This paper takes the logistics distribution situation of A logistics company as the research object, aims to optimize the distribution path to minimize the transportation distance. Based on the ant colony algorithm, improve the parameters of the ant colony algorithm, design a better performance algorithm, and aim at The specific problem established its mathematical model, and then through the example of MATLAB simulation to draw experimental conclusions. It shows that this scheme can optimize vehicle paths, improve delivery efficiency, and save logistics costs.

With the construction of smart cities, autonomous driving is expected to provide revolutionary advancement for future road traffic systems. Among them, vehicle path optimization is a hot topic in the field of autonomous driving. Based on the related theories and methods of path planning, this paper reviews the research status of path planning algorithms, and classifies the related algorithms of global and local planning. The results show that there are few researches on dynamic obstacle avoidance in complex environment and obstacle avoidance algorithm based on driver behavior. In addition, the target of vehicle path optimization can be further expanded.

Comprehensive use of geography, hydrology, urban and rural planning theories, combined with GIS modelling and analysis methods to plan the water body of MMIP. By studying the hydrological processes such as precipitation, infiltration, and evaporation, and combining the topographical factors of the study area, the main conclusions are drawn as follows: (1) Reasonable design of water body area and water depth in the arid is the key in solving water storage capacity. The smaller, and the deeper the water, the more conducive to the construction of water landscape; (2) The hydrodynamic model and GIS 3D topographic analysis improve the efficiency and theoretical support of water planning in arid areas; (3) In the planning of water landscape, the hydrodynamic model should be revised in full consideration of the present plant coverage.

In view of the fact that intelligent mine technologies are still in the initial construction stage, and the multiple systems existing in each coal mine lack unified standards. In order to explore the future development direction and research hotspots of intelligent mine technologies, the knowledge map is used. The literature types are restricted to the article and review, and the top 3000 literature with the highest relevance to the subject words are selected to be imported into Citespace for experiment. The future development direction and research hotspots of intelligent mine can be analyzed through big data and the abstract data in recent years, which lays a foundation for the construction of intelligent mine in the future.

Traffic infrastructure is the support of automatic driving, and the higher the level of automatic driving, the greater the dependence on intelligent transportation.It faces great challenges for automatic driving at present, that manual driving is more than automatic driving on the road.The reliability of the perception system relying solely on the vehicle itself needs to be improved, and the automatic driving decision-making system is not perfect and can not deal with some unexpected situations. Traffic infrastructure is the support of automatic driving, and the higher the level of automatic driving, the greater the dependence on intelligent transportation. In the current intelligent network road system, the traffic infrastructure sensing equipment can obtain the dynamic data of vehicles and environment in continuous space in real time, automatically process the unstructured data, and realize the short-term and micro prediction of vehicle driving combined with the historical data; However, various types of data can not be effectively integrated, and the time delay of information acquisition, processing and transmission is obvious. Based on the analysis of different road levels and different automatic driving levels, this paper discusses the edge node architecture and functions to be realized in the intelligent networked road system, so as to serve the high-level intelligent networked road system.

China is a big maritime country. More than 90% of foreign trade materials and 90% of crude oil imports need to be completed by sea. How to ensure the safety of navigation, stimulate the development of marine economy and build a powerful maritime country is an important part of ensuring China's economic, social development, and national security. After years of continuous construction, a modern supervision system coordinated by VTS, AIS, VHF, CCTV, and LRIT has been basically completed, the three-dimensional cruise and rapid response supervision mobile force with the comprehensive layout of boats, aircraft, bases, and oil spill equipment depots has basically taken shape, the ability and level of safety supervision have been significantly improved, but it still faces a series of problems, such as insufficient supervision ability in the far-reaching sea, weak navigation support ability in the far-reaching sea, insufficient development of supervision and information systems, low application degree of new technologies, and insufficient equipment and facilities.

This paper studies the navigation application system of single satellite and constellation of satellite AIS system, based on the current situation of ship supervision in recent years, and formulates the layout scheme of AIS constellation and the construction route of satellite AIS, which provides basic research for improving the ability of China's autonomous satellite ship supervision and navigation system, and improving the intelligent level and service quality of middle and far seas ship shipping.

The CargoCap system is the fifth transportation different from the previous conventional systems. This article concentrates on the aerodynamic drag of group travel Caps in CargoCap system because reducing the aerodynamic resistance of Caps is of paramount importance for building an economical and energy-saving CargoCap system. None of previous studies on aerodynamic drag have focused on this specific aspect since it is an innovative concept coming up with in recent years.

In this paper, a systematic analysis of the aerodynamic drag of group travel Caps in CargoCap system is presented with a strong validation of Computational Fluid Dynamics (CFD) method and convictive results of numerical simulation. Five groups including different number of Caps from 1 to 5 with distance between each two of 2 meters was simulated by the student version ANSYS Fluent 2020 R1. With the 3D RANS equations, standard k-ε model and standard wall function, a total of 5 CFD simulations were performed. The uppermost conclusion drawn is that the aerodynamic drag of every Cap is closely related to the position that it occupies in the group and the medial drag of the whole group showed a clear downward trend as the number of Caps increases. The average drag of the whole group can be considered as a measure of “travelling economy”. Increasing the number of Caps in one group moderately probably is an economical choice to form the group travel Caps while increasing excessively may not benefit a lot from the perspective of “travelling economy”.

This study presents a cogent research of the aerodynamic drag in single group where the amount of Caps is regularly varied, in CargoCap system. In addition, it provides a basic framework and tries to analyze aerodynamic drag of group travel Caps in CargoCap system from an innovative starting point.

Accurate and efficient prediction of road travel time plays a significant role in the application of intelligent transportation system. In order to accurately predict travel time, a new attention-based CNN-BiGRU hybrid model is proposed, which can simultaneously capture the spatial-temporal features of travel time. In this model, convolutional neural network (CNN) and bi-directional gated recurrent unit (BiGRU) are used to collect the spatial and temporal characteristics of travel time separately. The attention mechanism was used for assigning different weights according to the importance of the data to further improve the prediction accuracy of the model. The model is verified by using the charging data of Guangzhou airport south line, and the experiment shows that the model can achieve accurate travel time prediction.

For highways, reasonable placement of sensors and effective traffic information collection are important prerequisites for achieving operational goals such as safety and efficiency. In this paper, a simulation platform was built with the help of python, and two different fixed sensor layout schemes were studied under the environment of (Connect and Automated Vehicle, CAV) and (Human-driven Vehicle, HV). In addition, through the analysis of MARE and traffic flow of different schemes with penetration rates of 0 and 1, it is proved that CAV can improve the detection accuracy and the road capacity. The results shows that when the CAV penetration rate is high, the introduction of CAV can reduce the deployment cost of sensor and improve the accuracy of the travel time calculated using the sensor information.

In view of the variety of rail transit equipment monitoring, the large amount of real-time data collection, and the difficulty of classification and screening of fault and alarm data, this paper proposes a standardized interface based on keyword recognition, which realizes the process monitoring of access, storage, forwarding, verification, supplementary transmission and supplementary recording of external source data through the method of data collection and batch processing. Using an intelligent fast processing algorithm, by setting a certain data structure, keyword recognition, data table template method, we can quickly obtain massive interface system data, and perform the conversion and analysis of them to standardized interface data. To solve the problems of low efficiency of large-scale data acquisition, long data access process and many errors caused by large and changeable data points, the approach can improve the accuracy and efficiency of data acquisition.

FSC (Formula Student China) formula racing does not simply emphasize speed, but comprehensively considers safety, reliability, economy and handling. Through the accumulation of racing car development experience in the previous three years, the engine was calibrated and optimized again, and the transmission system, braking system, steering system, suspension assembly, aerodynamic kit, frame and air intake system were improved and designed. At present, the car has been successfully developed and successfully participated in the 2020 China University formula auto competition, and its comprehensive performance such as power, fuel economy and braking has been greatly improved.

Spatial correlation is an important issue for the accurate prediction of demand of shared bikes in the service area, as it exists and has an unignorable effect on the results when making demand forecast based on a traffic zone such as tract. This study makes a comparative study by predicting the daily demand of shared bikes in each tract between a negative binomial regression model including spatial filters and a random forest model. Several performance indexes including MAE, RMSE and MAPE are used for the comparison of predicting the daily demand with a consideration of spatial correlation. The results show that as a widely used machine learning method, random forest model shows a better performance than the spatial filtered negative binomial model, which means the former includes the spatial pattern in its algorithm when learning the general pattern in the data.

Balise information transmission system is an important signal source of the train, due to the complex external electromagnetic environment at its location, it is vulnerable to electromagnetic interference in the actual operation of the train, interfering with the information transmission of the train, thus affecting the operation of the train. In this paper, the interference source and interference path of the electromagnetic interference received by the balise information transmission system are analyzed, and the solution is given combined with the actual case, so as to solve the electromagnetic interference problem of the balise to a certain extent.

Turnout identification can assist trains in positioning and improve the train's track occupancy identification capability. Even if the Global Navigation Satellite Systems (GNSS) is unavailable or interfered, it is possible to achieve track selective positioning. This paper uses the branching direction detection method to identify the three-way turnout on the basis of the single turnout identification. The turnout data is measured by using LiDAR. The method is validated by using track data detected on the railway. Experiment results show that the method proposed in this paper is effective to identify three-way turnout.

Ship intelligent navigation system is currently a research hotspot in the shipping industry, but the related test methods and special technical standards are still in their infancy. In the context of the massive application of artificial intelligence (AI), machine learning and other technologies in the field of intelligent navigation, the testing of intelligent navigation systems faces huge challenges. The scenario-based smart ship navigation test method is currently one of the most promising potential solutions. This paper proposes an idea and method for detecting and extracting ship intelligent navigation testing scenarios from real Automatic Identification System (AIS) data. First, it analyzes the constituent elements of the testing scenario; then, according to the collision avoidance rules and maritime practical experience, the identification model of the ship encounter situation is to establish by using ship collision model based on Distance of close point of approaching (DCPA) and Time to close point of approaching (TCPA); finally, the AIS data of the Laotieshan water area is used for the experiment. The results show that the method is feasible, and AIS can provide rich source data for intelligent navigation testing scenarios, which are helpful for subsequent intelligent ship testing and safety assessment research.

With the continuous improvement of computer-aided design technology, three-dimensional design technology has developed rapidly. Among them, 3D modeling is the foundation of 3D design technology and an important part of 3D design. This paper takes the 3D modeling of the Taizicheng cable-stayed bridge as an example, and introduces a "skeleton + template" modeling method based on Dassault's 3D experience platform CATIA software. Cable-stayed bridges can be quickly modeled using this modeling method. The study provides new insights into the construction of numerical bridge models.

The development of public transportation and the reduction of environmental pollution have always been hot topics in society. As the main node of traffic congestion, intersections have become the object of attention of scholars. Setting up pre-signals at intersections is one of the effective means to implement bus priority. In this paper, environmental factors are introduced into the pre-signal control optimization model, and the vehicle emissions at the intersections before and after the pre-signal setting and the relationship between emissions and the duration of the green light are obtained, which provides a basis for pre-signal related research.

Cooperative adaptive cruise control (CACC) employs wireless communications to safely drive at short inter-vehicle distances, which improves traffic efficiency. The communication performance of the direct PC5 technology, such as communication delay should be carefully analyzed. Both the safety and efficiency benefits require string stability, which refers as the attenuation of the effects of disturbances in upstream direction. However, communication delay significantly compromises string stability, since CACC is heavily relying on communicated information. There is a minimum time gap requirement to guarantee string stability. To take full advantages in view of road throughput, a memory strategy with respect to the radar-measured preceding vehicle velocity is integrated to a well-developed CACC algorithm. The constant time gap policy is adapted to follow the past preceding vehicle position. By choosing the memorized time period exactly the same as communication delay, the effect of communication delay on string stability can be perfectly compensated. As a cost, there is an added inter-vehicle time gap, which is due to the actual distance of the preceding having driven in the time window of communication delay. As a result, the final minimum string-stable time gap equals to the value of communication delay. The feasibility of the memory strategy on CACC is explicitly analyzed. With the proposed control scheme, the minimum string-stable time gap can be significantly decreased. The results are validated using simulations with time varying communication delays.

Nowadays, with the rapid development of civil aviation in China, the volume of air passenger transportation is on a continuous growth. As an important place to provide ground services for passengers, the terminal is becoming saturated with capacity, which will not only cause more flight delays and reduce the efficiency of arrival and departure operations, but also bring negative impact to the normal operation and economic benefits of the airport. Taking Shanghai Hongqiao International Airport as an example, this paper establishes an Anylogic simulation model by encapsulating agent, evaluates and analyzes the passenger capacity of terminal critical resources, the weaknesses of the departure process and the bottlenecks of terminal operations under pressurized conditions, and makes reasonable suggestions for the terminal resources allocation and the optimization of related management aspects.

With the rapid development of intelligent traffic systems (ITS) and the gradual improvement of people's living standards, traffic planning and traffic guidance have become a hot topic in the field of traffic research. Accurately predicting traffic flow in a short time is the key to realize intelligent traffic control system. In view of the historical time correlation of traffic flow data, a short-time traffic flow prediction model combining wavelet denoising and BP neural network (WDBPNN) is proposed. The model takes the traffic flow data of the first four time points of the current intersection as input to predict the traffic flow. Mean relative error (MRE), equality coefficient (EC) and accuracy are introduced as the evaluation indexes of the model. The model is trained and tested with the actual traffic flow data of a section of British motorway, and the experiment shows that the model can get good prediction results.

With the continuous development of civil aviation, flight delay prediction has become an urgent problem to be solved. However, the class imbalance of the data makes it difficult for us to predict flight delays accurately, and flight delay prediction models constructed by single machine learning algorithms are usually unstable. To solve these problems, in this paper, we proposed a flight delay early warning model based on EUS-Bag algorithm, combining under-sampling and ensemble learning, which can overcome the information loss problem of under-sampling and ensure the performance of each individual classifier in ensemble learning. Experiments on the real flight delay data show that our model can generate more diversified individual classifiers and achieve better performance.

In the ATP function test project of train control system, the image information recognition of driver machine interface (DMI) is an important part of realizing test automation, because of the reason the real-time detection of DMI image information is very important. In the process of realizing DMI image information recognition based on machine vision, aiming at the problem of low generalization of the model caused by small amount of training data and single background of training image in machine vision system, combined with a variety of data enhancement strategies, a data set construction scheme of the system is proposed. In order to solve the problem of low attention to hard samples when using YOLOv4 model for small target detection, based on the idea of focus loss, a weighted fusion loss function of focus loss + CIoU loss is proposed, and the optimal parameters are obtained through experiments. The results show that the average accuracy of this method for DMI image information recognition is 98.76%, which is 2.6% higher than the traditional YOLOv4 detection model, and the single detection time is 76.9ms, which has a certain engineering application value.

There are two types of commuting, one is commuting for work, and the other is commuting for study. Primary school students need to consider not only their own factors but also family factors when commuting to and from school. The travel health of primary school students is also related to the choice of travel mode, so it is meaningful to study their travel mode choice behaviour. Based on the travel data of primary school students obtained by Beijing Transportation Development Institute, this paper determines the factors such as travel time and establishes the MNL model. The SPSS software is used to calibrate and test the parameters of the model, and the results show that the model is ideal. The article proposes a healthy travel index, and calculates the overall health of primary school students under different travel structures based on this index. The final conclusion: the greater the proportion of primary school students who travel alone, the better the overall health. Finally, on the basis of this research, the corresponding suggestions for the healthy travel of primary school students are put forward.

The wavelet ARIMA-RBF (Autoregressive Integrated Moving Average Model-Radial basis function) algorithm is proposed to improve the accuracy of the traditional short-term passenger flow forecast algorithm of urban rail transit. Wavelet analysis is used to extract and eliminate the noise in the short-term passenger flow data of urban rail transit. Then, ARIMA is adopted to model the previous short-term passenger flow data of urban rail transit and calculate the prediction results and prediction errors. Finally, the fitting result of prediction errors by RBF (Radial basis function) is added to the prediction results of ARIMA. The experimental results show that the prediction error of the designed model is the smallest for the short-term passenger flow prediction of urban rail transit. Although the prediction error on weekends is slightly higher than that on weekdays, the mean absolute percentage deviation of the model is only 3.05 %, which is better than ARIMA and RBF. The proposed algorithm provides certain data support for the application of wavelet analysis in short-term passenger flow forecast of urban rail transit.

In order to improve the carrying capacity of the whole channel system, avoid the idle waste of channel resources, and reduce the impact on the whole channel system when the channel is blocked, a cellular automata model of one-way variable channel ship traffic flow is established on the basis of NaSch model. By simulating the traffic flow of vessels in normal and blocked conditions, the relationship between vessel flow, average speed and vessel arrival rate is obtained when vessels in auxiliary channel are allowed to change lanes. The results show that the model can be applied to the decision simulation to improve the channel capacity and reduce the ship detention in the case of congestion.

China had experienced an enormous increase of traffic crashes as a result of the country's rapid growth of vehicle and highway mileage, now although traffic accidents have been greatly declined due to the promulgation and implementation of road traffic regulations, the mortality of traffic accidents is still high, so it is necessary to study the road traffic safety. Many studies have explored, to date, the issue of the traffic safety evaluation of road. But few analyse the cause of traffic safety related to inherent safety theory use in urban. The paper seeks to build an evaluation model of private cars, coaches and trucks from the perspectives of inherent safety. The evaluation index of traditional model traffic system has been built from the perspectives of human, vehicle, road and environment, this paper is based on the theory of inherent safety, the environment of different traffic carrier in which is different, and the drivers of different traffic carrier is also different, Therefore, by dividing the traffic carrier and using the theory of inherent safety to calculate the inherent safety impact factors of private cars, coaches and trucks respectively. Two methods are used for safety evaluation. The first method is based on the evaluation index and model established from the perspective of inherent safety. The second method is calculated by the traditional fuzzy matrix method. Finally, a comparative analysis of the two methods is carried out. It is possible to reduce the three types of road traffic accidents using the method, and in hopes of achieving an even safer traffic society in China.

The driver’s decision and behavior are important factors affecting traffic safety. This paper uses 22 participants to participate in a simulated driving experiment, integrated driver's driving behavior parameters and vehicle operating parameters for in-depth research as well as analysis, additionally statistical analysis on various indicators in lane change intention phase through independent sample T test, etc. The study has disclosed the effectively influence of the factors, which includes eye movement, head movement, and the vehicle related factors e.g.t vehicle speed, vehicle deviation angle, lateral acceleration, the distance to vehicle in front and the time to collision, etc. These factors change significantly between the different intention phases of lane keeping and lane change. Herein a steering prediction model is constructed based on logistic regression, which is verified to be highly effective. The accuracy of the prediction model in the experiment reached 94.4%, which means the effective complement of the prediction of lane change behavior.

Aiming at the difficulty of traditional unmanned and path planning methods to achieve the task execution of UAVs in complex mountain environments, a three-bit UAV based on multiple algorithms such as A-star algorithm, ant colony algorithm, interpolation algorithm and tolerance algorithm is proposed. Path planning algorithm. By optimizing the UAV path through the algorithm, the UAV path can finally be smoother and the body group coordination can be realized, which improves the airspace utilization rate and flight safety rate.

In order to ensure the safe operation of railway, it is necessary to improve the safety management level of railway signal and communication, and it is necessary to analyze the human reliability of operation and maintenance for signal and communication. Firstly, this paper analyzes the causes of human errors of telecom operators, and constructs the cognitive behavior model of signal and communication operation and maintenance safety. Then, the PSF evaluation index is analyzed from six aspects, which are individual situation, group situation, equipment situation, task situation, environment situation and the conclusion of historical experience, and the PSF evaluation index system of human reliability of signal and communication operation and maintenance is constructed, and the human reliability evaluation method of signal and communication operation and maintenance personnel based on Bayesian network theory is proposed. Finally, the applicability of the research method is verified by comparing the overall evaluation results with examples of different operation and maintenance periods. The research results show that the constructed evaluation index system and the adopted evaluation method are feasible and effective, and the evaluation results can provide theoretical basis and reference for the operation and maintenance safety management of the railway signal and communication administration department.

As China's social and economic level is developing rapidly, vehicles have become a necessity in daily life. However, with the continuous growth of the number of vehicles, the problem of vehicle exhaust pollution become increasingly serious in recent years. As the capital of China, Beijing has always been at the forefront of the country in terms of car ownership with a high growth rate every year. It can be said that vehicle exhaust has become a very important source of air pollution in Beijing.

This paper will start from the perspective of government management. First of all, it analyzes the macro factors of vehicle pollutant emissions, and introduces the policies formulated by Beijing Municipal Government for the control of pollutant emissions. Then, the causal relationship between these factors is described, and the system flow diagram is drawn according to the causal relationship diagram. Finally, the Vensim is used to simulate the system flow chart and analyze the sensitivity of key factors. This paper holds that the Beijing government's restrictions on traffic and purchase play an important role in regulating pollutant emissions. At the same time, this paper also puts forward other measures and suggestions to control tail gas emission.

Transportation planning plays an important role in guiding the construction of transportation infrastructure and even the development of the entire transportation industry. Traditional traffic planning mainly uses some drawing software and traffic planning software, such as CAD, Transcad and EMME/2. In the new development stage, the high-quality development of economy and society puts forward new requirements for transportation planning. GIS technology is an important means of new information technology, which can play an important role in all parts of the whole planning process. This paper focuses on the application of GIS data management, spatial analysis and visualization technology in traffic planning, hoping to contribute to the integrated development of traffic planning and GIS.

This article first collects data of the driving cycles of light electric trucks in Anyang; then uses the short-trip and Markov method to generate energy consumption evaluation driving cycles for electric trucks; finally, mathematically features verification and actual tests on the chassis dynamometer verification is carried on to prove that the features mentioned above are consistent with the original driving data, thereby proving the rationality of the generated driving cycles.

In order to reduce the negative impact of random time-varying delays and packet losses on cooperative driving for largescale connected and automated vehicles (CAVs) at communication-constrained unsignalized intersections, a cooperative driving method based on improved model-free adaptive predictive control (IMFAPC) is proposed in this paper. The control method designed in this paper only used the input and the output (I/O) data of the CAVs during driving based on pseudopartial derivative (PPD) dynamic linearization technology, which avoids the complex, nonlinear and uncertain modeling process of multi-vehicle system, as well as the system control issues caused by the use of imprecise and uncertain multivehicle system control model. The total time-varying transmission time-delay and packet loss between the target on-board unit (OBU) and road side unit (RSU) through the vehicle to infrastructure (V2I) communication is comprehensively considered. The control objectives can be achieved by the networked predictive control of time-varying transmission timedelay and packet loss, and the expected speed is allocated for each target vehicle through the RSU with edge computing (EC) controller. Compared with the two benchmark methods under the time-varying delay and packet loss conditions, the results show that the proposed method has effectively reduced the influence of random time-varying delay and packet loss on the control effects, reduces the safety risk of multi-vehicle driving and improves the traffic efficiency under various traffic volumes.

The driver is key factor of road passenger transport safety. How to effectively regulate the behavior of road passenger drivers has become a major problem in the road transportation industry. Based on 46 typical road passenger traffic accidents, the driver's driving behavior is analyzed in the process of accident statistic analysis. Drivers’ violations (speeding, overloading,, fatigue driving, etc.) and improper operation are important causes of accidents. Based on fishbone diagram and expert brainstorming, main problem are analyzed in-depth from the aspects of transport market, violation cost, safety education, etc. Countermeasures are proposed to improve the prevention and control of road passenger transportation driver behavior, such as fight fatigue driving behavior, strengthening the speeding drivers in field and response capacity.

In order to improve the accuracy and time efficiency of the vehicle trajectory map-matching method, this paper makes improvements to the traditional vehicle trajectory matching method based on fixed weight factors. In the calculation of the buffer retrieval radius, combined with the vehicle speed, the retrieval area is adjusted in real time to avoid the range Excessively large repetitive search and too small scope can lead to missing search problems, thereby improving the search efficiency and accuracy of candidate road sections. At the same time, the redundant point and outlier information can be identified and eliminated in time, which can improve the time efficiency of the algorithm to a certain extent. On the basis of traditional fixed weights, considering the effect of vehicle speed on the heading angle deviation, an empirical factor is set for adjustment to improve the overall matching accuracy, and finally a comparison experiment is set for verification. The experimental results show that the vehicle trajectory map-matching algorithm proposed in this paper has a significant improvement in matching accuracy, and it also has good matching performance in special road sections such as intersections.

The uncertainty of traffic and weather causes air traffic management to face the challenge of decision-making effectiveness, and providing auxiliary support for current scenes based on the decision measures of historical similar scenes is an effective way to improve the decision-making ability. To address the problem of similar scenes identification, a similar scenes identification method based on minimal-redundancy-maximal-relevance criterion(mRMR) feature selection algorithm in terminal area is proposed. Firstly, we use the clustering algorithm to preliminarily classify the scenes based on the delay data. Secondly, we use the mRMR feature selection algorithm to filter the features with higher contribution to the classification of similar scenes, and construct the identification model. Finally, the new sample data is input into the model for similar scenes identification. Experiments were conducted on the real dataset in the Guangzhou terminal area. The results show that the mRMR feature selection algorithm has a certain contribution to the identification of similar scenes, and the model can effectively identify similar scenes.

In autonomous driving tasks, the driver only needs to perform supervision task and would be free from complex driving tasks, which leads to great reduction of brain workload. However, it is known that low level of brain workload will cause driver to enter passive fatigue state naturally. Passive fatigue occurs in autonomous driving condition definitely for most people. Due to the situation above and the high demands of driving security, this article will study the impact of passive fatigue on driving behavior. Compared with manual driving, autonomous driving performed worse in the state of passive fatigue by analyzing emergency response time. In addition, an effected deeper fatigue state as well as the increased takeover time appeared under the condition of passive fatigue. It is disclosed that passive fatigue developed faster than how manual fatigue developed in the same test. Eventually, it has been proved that passive fatigue can be relieved by takeover, through the test with the demonstration of the changes of both subjective evaluation scores and objective indicators in the same way under the research.

With the rapid development of economy and the increasing demand for transportation, people pay more and more attention to the issue of low-carbon development. Rail transit has gradually become the first choice for people to travel due to its energy-saving and environmental protection. Based on previous scholars, this paper takes Jiangsu province, the province with the largest number of rail transit cities in China, as an example, selects data related to urban rail transit and low-carbon economic development from 2010 to 2019, establishes an evaluation index system, and analyzes the coordinated development relationship between the two systems by using entropy method, comprehensive evaluation index model and coupling coordination degree model. The results show that: (1) from 2010 to 2019, the development of urban rail transit in Jiangsu Province is on an upward trend, and the development of low-carbon economy as a whole shows a downward and fluctuating trend; (2) the development of Jiangsu Province from 2010 to 2014 belongs to the lagging type of rail transit development, but from 2015 to 2019 it belongs to the lagging type of low-carbon development ; (3) the change laws of coupling degree C and coupling coordination degree D are consistent, and both are in a fluctuating state, but the overall analysis, with the passage of time, shows that the degree of coupled and coordinated development of the two systems is constantly improving towards a coordinated and stable development state.

Accurate road information is important for modern intelligent transportation systems. Light Detection and Ranging (LiDAR) is an ideal equipment to collect microscope traffic data which is helpful to analyze traffic behavior and operation mechanism. Background filtering is the key to obtaining road target information. To reduce the calculation, the Region of Interest (ROI) area is defined and only ground lines and targets are kept in the ROI area. The traditional random sample consensus (RANSAC) algorithm filters out the ground lines by establishing a plane model. The performance of the RANSAC is limited. To extract the target point clouds more accurately, this paper proposed a method of ground segmentation based on polynomial fitting of third order surface and multiple error control. Using this method, ground lines recognition accuracy can reach 97.1%, which was about 24.74% higher than that of traditional algorithm.

In order to balance the influence of subjective factors in the VTS radar station location and make the location more reasonable, an evaluation index system for the VTS radar station location has been constructed based on the principles of science, operability, and systemic. An evaluation model of VTS radar station location based on cloud matter element theory and combined weighting method is proposed. Analysis of the above problems in the location of the Yangshan VTS radar station shows that the evaluation index system for the VTS radar station location meets the basic requirements. The optimal location can be obtained from both qualitative and quantitative aspects, proving the feasibility and comprehensiveness of the proposed method.

In recent years, connected and automated vehicles (CAVs) technology has attracted a lot of attention in the transportation field because CAVs have unique operational characteristics compared to human-driven vehicles (HVs) and are expected to revolutionize the current transportation landscape. The objective is to solve the traffic problems in the future intelligent network environment, and the lane management strategy research can effectively solve the traffic problems under mixed traffic flow. In mixed traffic between intelligent connected vehicles and conventional vehicles, lane management strategies are combined with intelligent connected vehicle technology to effectively utilize the advantages of both and improve traffic conditions. In this paper, we model the mixed traffic flow and lane management strategies for simulation, and the results show that lane management in a smart connected hybrid traffic environment can effectively enhance the queuing effect between CAVs and mitigate the interference between connected vehicles and conventional vehicles, thus improving highway throughput.

The prediction of traffic flow can supply a powerful reference for urban traffic planning. A multi-step traffic flow prediction model using stacking ensemble learning algorithm is constructed in this paper, which ensembles three Elman Neural Networks (ENN) as base learn and a Support Vector Machine (SVM) as meta-learner. Experimental results prove that the good multi-step prediction effect can be achieved by the proposed stacking ensemble model, and compared with Autoregressive Integrated Moving Average (ARIMA), ENN, SVM and Echo State Networks (ESN), the proposed model can achieve the highest prediction accuracy regardless of 1, 2 or 3 step forecasting.

In order to solve the problem of when a ship will be encounter situation, stand on vessel cannot determine exactly when it is in a close-quarter. It is often a fuzzy concept influenced by the comprehensive factors of human, ship and environment. Therefore, based on the domain of quaternion ship, this paper establishes a dynamic minimum safety meeting model by the combination of the own ship domain and others'. According to the rules for preventing collision, on the premise of only considering steering and collision avoidance, the close quarter situation model is established by the ship motion geometry principle, and the distance of the latest action is deduced. Lastly, through the simulation data, the validity of the last action model is verified.

Automobile cabin air filters have been ever-increasingly detected since the outburst of COVID-19. However, the dust sources adopted are varied due to the numerous standards. In this study, the effects of different dust sources on the test results of filtration efficiency were explored, and the causes for the different test media used in different standards were analyzed. The study results provide a reference for further improving the performance of vehicle cabin air filters.

Aiming at the problem of how to carry out application scenario deployment and verification in the process of cooperative vehicle-infrastructure system from key technology research to application, the typical functional scenarios design and verification method of cooperative vehicle-infrastructure system is studied. The system architecture, classification of application scenarios and realizable effects of cooperative vehicle-infrastructure system are introduced in detail. The construction method of vehicle-infrastructure cooperation functional scenario verification platform is discussed. The evaluation parameters and expected response results of functional scenario verification are proposed. The verification methods and technical requirements for typical scenarios are established. The research results can achieve a comprehensive and reliable evaluation of typical scenarios of cooperative vehicle-infrastructure system.

Nowadays, the scale of cities continues to expand and rail transit is developing day by day. It is more and more important to ensure the efficient and safe operation of rail transit. As an important factor affecting the safe operation of subway lines, the profile of the tunnel section is constantly updated with the development of the line. Efficient, automated, and intelligent tunnel section detection new technology has become a research trend and hot spot. This paper analyzes the current situation of tunnel section detection technology in China and abroad. Introduced a metro tunnel section test technology based on 350 degree laser scanner. The system has the characteristics of digitalization, miniaturization, modularization, high integration and real-time. Apply the product to an existing subway line, analyze and process the obtained data, and obtain specific information about the intrusion limit hazard on the line, so as to verify the feasibility of the system.

Data compression technology is one of the essential core technologies for remote measurement and control of future intelligent ships. The quality and volume of the compressed digital video of shipborne radar should meet the requirements of intelligent ships. The digital video compression technology of shipborne radar and the bandwidth of marine communication network are the main factors that affect radar digital video compression quality. In this paper, according to the content of the radar echo area, four ranges of shipborne radar digital video are selected, and the high-efficiency digital video coding standards H.264/AVC, H.265/HEVC, HEVC-SCC, VP9 and AVS2 are used for radars of different ranges. Digital video uses the same encoding configuration to conduct simulation experiments and compare compression performance. The simulation results show that the digital video quality of the shipborne radar compressed by these video coding standards will continue to change with the fluctuation of the network bandwidth. When the bitrate is low, the compression performance of the encoder is improved faster, while the compression performance of these video coding standards gradually approaches at a higher bitrate. The performance of the codec also depends on the complexity of the radar digital video content. The larger the range, the lower the content complexity and the better the performance.

Short-term traffic prediction is an important technology for smart city management and scheduling, which can provide accurate predictions for the future status of various traffic systems in the city, such as road traffic and subway traffic. In this paper, an adaptive ensemble prediction model that integrates single-objective model selection, multi-objective ensemble, and deep learning models is proposed. Several deep learning models are trained first, which forms a prediction model pool. A single-objective optimization algorithm is used to perform model selection by selecting several base models from the pool, then a multi-objective optimization algorithm is used for integrating the dynamically selected base models. The model performance is evaluated in a dataset collected from a real-world road node. The results reveal that the proposed adaptive model framework has superior prediction ability.

Aiming at the role of urban transportation systems in the prevention and control of the new crown pneumonia epidemic and emergency support. Based on epidemic prevention and control, this paper introduced the concept of resilience. The change process of system performance was divided into the prevention stage, maintenance stage, and recovery stage. Analyzed the factors affecting urban transportation systems resilience at various stages and the causal relationship between the factors. Assessment indicators of the transportation system resilience was established. Bayesian network (BN) was used to build resilience assessment model of urban transportation systems. And BN was used to evaluate and reason the model. Taking Xi'an as an example, the paper assessed the resilience of Xi'an transportation system. GeNIe was used for causal inference and sensitivity analysis of the network. Identify factors with high sensitivity and propose improvement measures. The results show that the model can quantify the resilience of urban transportation systems during the COVID-19 Pandemic, evaluate the current situation of the systems, and analyze the effects of factors on the resilience, to provide decision support for improving the resilience of urban transportation systems and dealing with epidemic risk.

At present, the process of urbanization in our country is accelerating, and urban problems have become increasingly prominent with the acceleration of urbanization. Urban traffic problems are a manifestation of the contradiction between people and cities. This article aims to alleviate traffic congestion in Shenyang by opening gated communities, provide a way to explore the problems faced by gated communities in Shenyang, and provide a reference for the opening and transformation of gated communities in Shenyang. Through a sample survey of urban residents, this article has learned that residents have concerns about opening closed communities. From the perspective of public governance, it is believed that proper opening of closed communities can well alleviate traffic congestion on Shenyang during peak traffic hours. The article believes that the government should cooperate with real estate to solve the problem of low willingness to participate in open communities due to public property rights and residents’ concerns, to alleviate traffic congestion.

Based on graph theory and complex network theory, this paper puts forward macro characteristic indexes of urban rail transit network from three aspects of network development level, network form and structure efficiency. Taking the rail transit network of four stages in Chengdu as an example, and comparing the rail transit network of 11 domestic case cities, the evolution characteristics of Chengdu network structure are analyzed. The results show that the network in the four stages is becoming more and more complex and mature. In the first stage, the network structure is simple and belongs to "auxiliary" network. In the second stage, it will surpass the "backbone type" and reach the level of "main body type", which is equivalent to the first tier cities in China. In the third stage, the development is basically mature with a high network level, and the complexity and connectivity surpass Tokyo, reaching the international leading level. In the fourth stage, the network is more mature and efficient, which supports the urban development.

The setting of traffic safety facilities is closely related to the driver's driving safety and comfort. How to set up traffic safety facilities reasonably and effectively is very important to reduce the driving safety risk. Based on the analysis of the basic setting principle of traffic signs in traffic safety facilities, this paper compares and analyzes the bridge and tunnel influence area of two sections (Zhuhai Port Section and Hong Kong Port Section) for Hong Kong-Zhuhai-Macao Bridge according to the traffic signs setting standards of China and BS respectively, then finds that there are some differences in traffic sign setting between Mainland and Hong Kong sections. As to the setting of traffic signs, the words layout for the Mainland section and the color chosen for the Hong Kong section are more reasonable, but the number of traffic signs and information close to the tunnel entrance of the Hong Kong section are overloaded. Through comparative analysis and research, some suggestions are put forward to provide reference for the rationality and refinement of traffic signs in China.

This study investigates an estimation model of ground surface settlement caused by the excavation of tunnels with a horseshoe-shaped cross section. The ground surface settlement data of the construction of a subway line in Changchun was analyzed, and a model based on the simplified equation of the stochastic medium theory was established. The formula for parameter r(H) was modified. The parameters of the model were obtained by linear regression analysis of the ground surface settlement data. Based on the linear regression analysis results of the monitoring data, the distribution laws of the parameters in the model were obtained. The primary distribution range for tanβ in the Changchun area is 0.9-1.6, and the recommended value for ΔA is 8-22 mm (β is the angle between the slip surface and horizontal plane and ΔA is the uniform convergence value of the tunnel cross section). Further analysis of the proposed model indicates that with a good choice of parameters, a good estimate of the ground surface settlement can be obtained.