Improved Car-Following Model for Connected Vehicles Considering Backward-Looking Effect and Motion Information of Multiple Vehicles
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 149, Issue 2
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.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was partially supported by Natural Science Foundation of Shanghai (20ZR1422300), Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, Program of Shanghai Academic/Technology Research Leader (No. 21XD1401100).
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Information & Authors
Information
Published In
Journal of Transportation Engineering, Part A: Systems
Volume 149 • Issue 2 • February 2023
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Mar 15, 2022
Accepted: Sep 30, 2022
Published online: Dec 2, 2022
Published in print: Feb 1, 2023
Discussion open until: May 2, 2023
ASCE Technical Topics:
- Computer networks
- Computing in civil engineering
- Continuum mechanics
- Driver behavior
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Highway transportation
- Infrastructure
- Internet
- Models (by type)
- Motion (dynamics)
- Numerical models
- Solid mechanics
- Traffic analysis
- Traffic congestion
- Traffic engineering
- Traffic management
- Traffic models
- Transportation engineering
- Vehicles
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- Cong Zhai, Weitiao Wu, Yingping Xiao, An Extended Multilane Lattice Hydrodynamic Model Considering the Predictive Effect of Drivers under Connected Vehicle Environment, Journal of Transportation Engineering, Part A: Systems, 10.1061/JTEPBS.TEENG-7842, 149, 10, (2023).