This paper proposes a multi-activities scheduling algorithm based extended space-time prism under time geography
framework. This algorithm aims to schedule multi-activities from different kinds of activity, which can be used as kernel
function of an innovative location based service-multi-activities scheduling service. The extended space-time prism is
derived of space-time prism concepts of time geography. For each available activity opportunity in this extended spacetime
prism, two new shortest path trees are computed to measure the travel time between activities from different kinds
of activity, one new space-time tree arrive at this available activity opportunity, and the another one departs from this
available activity opportunity. A prototype 3D space-time environment is implemented to support the concept of
extended space-time prism, and provide function of this proposed algorithm. An example of multi-activities scheduling
scenario is shown to demonstrate the usefulness of this proposed algorithm for this location based service. Finally,
several future works are also introduced in this paper.
KEYWORDS: Information fusion, Data modeling, Roads, Information technology, Data processing, Mobile communications, Geographic information systems, Databases, Distributed computing, Telecommunications
With the rapid development of urban economy and urbanization construction in China, traffic load rises sharply because
of the larger vehicle occupancy within many urban areas, which has already led to serious traffic congestion problem.
GIS-T is an efficient technological solution and core information infrastructure for solving modern urban transportation
problems. High-level traffic systems must integrate real-time traffic information and spatial data of road to supply timely
and efficient public services and guarantee a better orderly transportation. However, for traffic information is multisource,
complex and massive, traffic information service must have fast, powerful capabilities for online integration
processing. Online integration of traffic information emphasizes the traffic resources share and services optimization,
and solve assignment, scheduling, monitoring and feedback of integration computing tasks in dynamic and distributed
network. This paper firstly analyzes traffic data and existing problems of online integration, and then discusses mobile
agent technology, and finally proposes a mobile agent based unified online integration model of traffic information. This
model will achieve cooperative computing and more accessible, flexible and reliable traffic information services.
This paper will extends the advantages of location based service, specifically using their ability to management and indexing the positions of moving object, Moreover with this objective in mind, a mobile agent-based moving objects indexing algorithm is proposed in this paper to efficiently process indexing request and acclimatize itself to limitation of location based service environment. The prominent feature of this structure is viewing moving object's behavior as the mobile agent's span, the unique mapping between the geographical position of moving objects and span point of mobile agent is built to maintain the close relationship of them, and is significant clue for mobile agent-based moving objects indexing to tracking moving objects.
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