An extended car-following model considering multi-anticipative average velocity effect under V2V environment

Hua Kuang, Mei-Ting Wang, Fang-Hua Lu, Ke-Zhao Bai and Xing-Li Li

Physica A: Statistical Mechanics and its Applications, 2019, vol. 527, issue C

Abstract: Vehicle-to-vehicle (for short, V2V) communication technology is regarded as a promising technology to improve traffic efficiency and safety. In this paper, an extended car-following model is proposed to simulate traffic flow by considering multi-anticipative average velocity effect (including the average velocity and the mean expected velocity field effect of preceding vehicles group) under V2V environment. The stability condition of this model is obtained by applying the linear stability theory. The phase diagram comparison and analysis shows that the multi-anticipative average velocity effect can effectively enhance the stabilization of traffic system. In particular, the average velocity effect plays a more important role than that of the mean expected velocity field effect in improving the stability of traffic flow. The mKdV equation is derived to describe the evolution characteristics of traffic density waves by using the reductive perturbation method. Furthermore, the numerical simulation is carried out to validate the theoretical results, and indicates that the traffic jam can be suppressed efficiently via taking into account multi-anticipative average velocity effect.

Keywords: Traffic flow; Car-following model; Multi-anticipative average velocity effect; V2V environment (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119307344
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119307344

DOI: 10.1016/j.physa.2019.121268

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().