Chapter
Jul 2, 2019
A Mixed Traffic Flow Stability Analysis Based on a Markov Chain Method
Authors: Jing Gan [email protected], Linheng Li [email protected], Qiaojun Xiang [email protected], and Wenquan Li [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
This paper aims at investigating an integrated intelligent driver model and its linear stability analysis for mixed traffic flow based on a microscopic traffic model, integrating a Markov chain representation of spatial distribution of connected and automated vehicles (CAVs) and human-driven vehicles (HVs), market penetration rate of CAVs, and power cooperation between two consecutive vehicles. Numerical simulations in various scenarios are performed to show how these three factors affect the stability of mixed traffic flow. It is found that the traffic flow stability performance can be improved in these three dimensions and the results of linear stability analysis are in good agreement.
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Published In
CICTP 2019
Pages: 5587 - 5599
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Authors
Affiliations
Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ., Nanjing, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ., Nanjing, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ., Nanjing, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ., Nanjing, China. E-mail: [email protected]
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