Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach

Fuente: arXiv
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Main Authors: Huang, Kuang, Di, Xuan, Du, Qiang, Chen, Xi
Format: Preprint
Published: 2019
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author Huang, Kuang
Di, Xuan
Du, Qiang
Chen, Xi
author_facet Huang, Kuang
Di, Xuan
Du, Qiang
Chen, Xi
contents This paper presents scalable traffic stability analysis for both pure autonomous vehicle (AV) traffic and mixed traffic based on continuum traffic flow models. Human vehicles are modeled by a non-equilibrium traffic flow model, i.e., Aw-Rascle-Zhang (ARZ), which is unstable. AVs are modeled by the mean field game which assumes AVs are rational agents with anticipation capacities. It is shown from linear stability analysis and numerical experiments that AVs help stabilize the traffic. Further, we quantify the impact of AV's penetration rate and controller design on the traffic stability. The results may provide insights for AV manufacturers and city planners.
format Preprint
id arxiv_https___arxiv_org_abs_1906_01554
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach
Huang, Kuang
Di, Xuan
Du, Qiang
Chen, Xi
Optimization and Control
Systems and Control
This paper presents scalable traffic stability analysis for both pure autonomous vehicle (AV) traffic and mixed traffic based on continuum traffic flow models. Human vehicles are modeled by a non-equilibrium traffic flow model, i.e., Aw-Rascle-Zhang (ARZ), which is unstable. AVs are modeled by the mean field game which assumes AVs are rational agents with anticipation capacities. It is shown from linear stability analysis and numerical experiments that AVs help stabilize the traffic. Further, we quantify the impact of AV's penetration rate and controller design on the traffic stability. The results may provide insights for AV manufacturers and city planners.
title Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/1906.01554