Study on Reverse Reconstruction Method of Vehicle Group Situation in Urban Road Network Based on Driver-Vehicle Feature Evolution
Joint Authors
Wang, Jingheng
Liu, Yaqi
Liu, Zhenxue
Wang, Xiaoyuan
Wang, Jianqiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-20
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Xiaoyuan& Wang, Jianqiang& Liu, Zhenxue& Liu, Yaqi& Wang, Jingheng. 2017. Study on Reverse Reconstruction Method of Vehicle Group Situation in Urban Road Network Based on Driver-Vehicle Feature Evolution. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1189595
Modern Language Association (MLA)
Wang, Xiaoyuan…[et al.]. Study on Reverse Reconstruction Method of Vehicle Group Situation in Urban Road Network Based on Driver-Vehicle Feature Evolution. Mathematical Problems in Engineering No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1189595
American Medical Association (AMA)
Wang, Xiaoyuan& Wang, Jianqiang& Liu, Zhenxue& Liu, Yaqi& Wang, Jingheng. Study on Reverse Reconstruction Method of Vehicle Group Situation in Urban Road Network Based on Driver-Vehicle Feature Evolution. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1189595
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189595