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Microscopic state evolution model of mixed traffic flow based on potential field theory

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Publication:2096761
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DOI10.1016/j.physa.2022.128185OpenAlexW4296050337MaRDI QIDQ2096761

Can Wang, Linheng Li, Bin Ran, Xu Qu, Ying Zhang, Zhijun Chen, Rui Li

Publication date: 11 November 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2022.128185


zbMATH Keywords

cellular automatacar-following modelpotential field theorymixed traffic flowmicroscopic-state evolution


Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)


Related Items (1)

Modeling and simulation of lane-changing and collision avoiding autonomous vehicles on superhighways



Cites Work

  • Freeway traffic flow cellular automata model based on mean velocity feedback
  • Towards a realistic microscopic description of highway traffic
  • Evolution Theory, Periodic Particles, and Solitons in Cellular Automata
  • Simulation and evaluation of speed and lane-changing advisory of CAVS at work zones in heterogeneous traffic flow




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