An extended car-following model considering driver’s memory and average speed of preceding vehicles with control strategy

Yuqing Sun, Hongxia Ge and Rongjun Cheng

Physica A: Statistical Mechanics and its Applications, 2019, vol. 521, issue C, 752-761

Abstract: Considering effect of driver’s memory and average speed effect of preceding vehicles, an extended car-following model is proposed in this paper. The control signal including the velocity difference between the considered vehicle’s velocity and its preceding cars’ average speed is considered. The stability conditions of the model are derived by control theory method. The extended model is also analyzed from the perspective of energy consumption. Numerical simulation results show that driver’s memory has negative impact on stability of traffic flow and increases the energy consumption. However, the control signal can enhance the stability of traffic system and depress the energy consumption.

Keywords: Car-following model; Driver’s memory; Average speed; Control method; Energy consumption (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119300986
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:521:y:2019:i:c:p:752-761

DOI: 10.1016/j.physa.2019.01.092

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 ().