Study on Reverse Reconstruction Method of Vehicle Group Situation in Urban Road Network Based on Driver-Vehicle Feature Evolution

Vehicle group situation is the status and situation of dynamic permutation which is composed of target vehicle and neighboring traffic entities. It is a concept which is frequently involved in the research of traffic flow theory, especially the active vehicle security. Studying vehicle group situati...

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Bibliographic Details
Published in:Mathematical problems in engineering 2017-01, Vol.2017 (2017), p.1-14
Main Authors: Liu, Yaqi, Liu, Zhenxue, Wang, Jianqiang, Wang, Xiaoyuan, Wang, Jingheng
Format: Article
Language:English
Subjects:
Accuracy
Automobile safety
Driving
Evolution
Experiments
Feasibility
Flow theory
Laboratories
Mathematical problems
Permutations
Privacy
Probability distribution functions
Reconstruction
Researchers
Roads
Roads & highways
Science
Studies
Traffic control
Traffic flow
Transportation networks
Vehicle identification
Vehicles
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Summary:Vehicle group situation is the status and situation of dynamic permutation which is composed of target vehicle and neighboring traffic entities. It is a concept which is frequently involved in the research of traffic flow theory, especially the active vehicle security. Studying vehicle group situation in depth is of great significance for traffic safety. Three-lane condition was taken as an example; the characteristics of target vehicle and its neighboring vehicles were synthetically considered to restructure the vehicle group situation in this paper. The Gamma distribution theory was used to identify the vehicle group situation when target vehicle arrived at the end of the study area. From the perspective of driver-vehicle feature evolution, the reverse reconstruction method of vehicle group situation in the urban road network was proposed. Results of actual driving, virtual driving, and simulation experiments showed that the model established in this paper was reasonable and feasible.
ISSN:1024-123X
1563-5147
DOI:10.1155/2017/1615691