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STABILITY OF A NONLOCAL TRAFFIC FLOW MODEL FOR CONNECTED VEHICLES.

Authors :
KUANG HUANG
QIANG DU
Source :
SIAM Journal on Applied Mathematics. Feb2022, Vol. 82 Issue 1, p221-243. 23p.
Publication Year :
2022

Abstract

The emerging connected and automated vehicle technologies allow vehicles to perceive and process traffic information in a wide spatial range. Modeling nonlocal interactions between connected vehicles and analyzing their impact on traffic flows become important research questions to traffic planners. This paper considers a particular nonlocal LWR model that has been studied in the literature. The model assumes that vehicle velocities are controlled by the traffic density distribution in a nonlocal spatial neighborhood. By conducting stability analysis of the model, we obtain that, under suitable assumptions on how the nonlocal information is utilized, the nonlocal traffic flow is stable around the uniform equilibrium flow and all traffic waves dissipate exponentially. Meanwhile, improper use of the nonlocal information in the vehicle velocity selection could result in persistent traffic waves. Such results can shed light on the future design of driving algorithms for connected and automated vehicles. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00361399
Volume :
82
Issue :
1
Database :
Academic Search Index
Journal :
SIAM Journal on Applied Mathematics
Publication Type :
Academic Journal
Accession number :
155421955
Full Text :
https://doi.org/10.1137/20M1355732