Paper
14 February 2024 Assessment of the impact of forward vision on vehicle start-stop process and traffic operation
Can Ji, Shao-wei Yu, Feng-xuan Luo
Author Affiliations +
Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130180E (2024) https://doi.org/10.1117/12.3024053
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
In this paper, we analyze the numerical characteristics of stopping spacing and starting interval of vehicles at signal intersections, explore the relationship between forward vision and stopping spacing and starting interval, and analyze the impact of vehicles on road traffic under different stopping spacing conditions by simulation software. Firstly, the numerical characteristics of stopping spacing and starting interval are analyzed based on the data collected in the field; then, the correlation effect of vehicle type on stopping spacing and starting interval and its distribution characteristics are verified; finally, the motion process of vehicles stopping and starting at different stopping spacing is simulated in vissim simulation software to analyze the influence of different stopping spacing on road traffic. The results of the statistical analysis of the data showed that the differences in vehicle forward vision due to different vehicle types had a significant effect on the stopping spacing, while it did not have a significant effect on the start interval time; the simulation results show that as the stopping spacing decreases, the traffic capacity and average speed increases, while the delay and travel time decrease.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Can Ji, Shao-wei Yu, and Feng-xuan Luo "Assessment of the impact of forward vision on vehicle start-stop process and traffic operation", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130180E (14 February 2024); https://doi.org/10.1117/12.3024053
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KEYWORDS
Roads

Statistical analysis

Computer simulations

Data modeling

Safety

Visual analytics

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