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Improved Car-Following Model for Connected Vehicles Considering Backward-Looking Effect and Motion Information of Multiple Vehicles.

Authors :
Minghui Ma
Wenjie Wang
Shidong Liang
Jiacheng Xiao
Chaoteng Wu
Source :
Journal of Transportation Engineering. Part A. Systems. Feb2022, Vol. 149 Issue 2, p1-13. 13p.
Publication Year :
2023

Abstract

To alleviate traffic congestion, an improved car-following model for connected vehicles is proposed in this paper by considering backward-looking effect and motion information of multiple vehicles. The backward-looking effect is common in traffic and motion information of multiple vehicles and is beneficial for alleviating traffic congestion. The linear and nonlinear stability of the proposed model is analyzed, and the stability condition and modified Korteweg-de Vries equations of the proposed model are derived. The theoretical analysis results prove the effectiveness of the proposed model in alleviating traffic congestion and improving the stability of the traffic system. Further, numerical simulation is designed to verify the promoting effect of the introduced parameters on the traffic stability and to test the effect of the improved model on large-scale car-following queues. Finally, the next-generation simulation (NGSIM) data sets are used to calibrate the parameters of the improved model. The results show that the improved model can effectively avoid traffic congestion and enhance the stability of traffic flow. The improved model can be used as active safety technology to prevent collision accidents or as a car-following strategy in driverless algorithms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
24732907
Volume :
149
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Transportation Engineering. Part A. Systems
Publication Type :
Academic Journal
Accession number :
160874151
Full Text :
https://doi.org/10.1061/JTEPBS.TEENG-7430