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Freeway traffic flow cellular automata model based on mean velocity feedback

Author

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  • Zeng, Junwei
  • Qian, Yongsheng
  • Mi, Pengfei
  • Zhang, Chaoyang
  • Yin, Fan
  • Zhu, Leipeng
  • Xu, Dejie

Abstract

Making full use of real-time feedback traffic information to guide road traffic is one of the hot spots in the field of intelligent transportation system, which has practical significance for improving travel efficiency and reducing congestion. This paper proposes a new average speed feedback strategy based on real-time information, and uses it to improve the MCD model. The fundamental diagram, space–time diagram and flow interruption effect diagram obtained by simulation show that the results are consistent with the three-phase flow theory. It is found that in the free flow phase, the mean velocity feedback enables vehicles to adjust the velocity, accelerate the dissipation of the deceleration wave and maintain the stability of the traffic flow. In contrast, in the synchronized flow phase, the mean velocity feedback strategy keeps the traffic flow constant, reduces the velocity disturbance caused by the drivers’ own factors and improves the road operation efficiency.

Suggested Citation

  • Zeng, Junwei & Qian, Yongsheng & Mi, Pengfei & Zhang, Chaoyang & Yin, Fan & Zhu, Leipeng & Xu, Dejie, 2021. "Freeway traffic flow cellular automata model based on mean velocity feedback," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    • Handle: RePEc:eee:phsmap:v:562:y:2021:i:c:s0378437120307329
    DOI: 10.1016/j.physa.2020.125387
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    References listed on IDEAS

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    Cited by:

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    7. Hu, Xiaojian & Lin, Chenxi & Hao, Xiatong & Lu, RuiYing & Liu, TengHui, 2021. "Influence of tidal lane on traffic breakdown and spatiotemporal congested patterns at moving bottleneck in the framework of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
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