Title: Stabilisation of traffic flow by considering multiple information based on vehicle-to-vehicle communication

Authors: Qian Li; Haiyang Wang; Dongfan Xie; Cailiang Jiang

Addresses: Comprehensive Transportation Research Institute, Transport Planning and Research Institute Ministry of Transport, Beijing, 100028, China; Integrated Transportation Research Center, China Academy of Transportation Science, Beijing, 100029, China ' Integrated Transportation Research Center, China Academy of Transportation Science, Beijing, 100029, China ' School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China ' Integrated Transportation Research Center, China Academy of Transportation Science, Beijing, 100029, China

Abstract: With the rapid development of advanced technologies, vehicles can share information with each other based on vehicle-to-vehicle (namely V2V for simplicity) communication. It is expected that the V2V information can improve efficiency and stability of traffic flow, which has attracted much attention in traffic flow theory. To this end, this study develops an alternative car-following model with the consideration of V2V information. By using the linear stability theory, stability analysis is performed, and the string stability condition is obtained. The results indicate that V2V information can improve the stability of traffic flow, and traffic fluctuations can thus be suppressed. Case studies were carried out based on numerical simulations, and the results coincided with the theoretical ones.

Keywords: V2V; vehicle-to-vehicle; communication; car-following model; stability analysis; traffic congestion.

DOI: 10.1504/IJVD.2023.135484

International Journal of Vehicle Design, 2023 Vol.93 No.3, pp.280 - 291

Received: 03 Jun 2020
Accepted: 07 Apr 2021
Published online: 15 Dec 2023 *

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