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Research Article | Open Access

Stability of multi-population traffic flows

Amaury Hayat1( )Benedetto Piccoli2Shengquan Xiang3
CERMICS, École des Ponts ParisTech, 6–8, Avenue Blaise Pascal, Cité Descartes—Champs sur Marne, 77455 Marne la Vallée, France
Department of Mathematical Sciences and Center for Computational and Integrative Biology, Rutgers University–Camden, 303 Cooper St, Camden, NJ, USA
School of Mathematical Sciences, Peking University, 100871, Beijing, P. R. China
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Abstract

Traffic waves, known also as stop-and-go waves or phantom jams, appear naturally as traffic instabilities, also in confined environments as a ring-road. A multi-population traffic is studied on a ring-road, comprised of drivers with stable and unstable behavior. There exists a critical penetration rate of stable vehicles above which the system is stable, and under which the system is unstable. In the latter case, stop-and-go waves appear, provided enough cars are on the road. The critical penetration rate is explicitly computable, and, in reasonable situations, a small minority of aggressive drivers is enough to destabilize an otherwise very stable flow. This is a source of instability that a single population model would not be able to explain. Also, the multi-population system can be stable below the critical penetration rate if the number of cars is sufficiently small. Instability emerges as the number of cars increases, even if the traffic density remains the same (i.e., number of cars and road size increase similarly). This shows that small experiments could lead to deducing imprecise stability conditions.

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Networks and Heterogeneous Media
Pages 877-905

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Cite this article:
Hayat A, Piccoli B, Xiang S. Stability of multi-population traffic flows. Networks and Heterogeneous Media, 2023, 18(2): 877-905. https://doi.org/10.3934/nhm.2023038

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Received: 05 January 2022
Revised: 09 January 2023
Accepted: 11 January 2023
Published: 15 June 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)