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Feedback strategy with delay in a two-route traffic network

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  • Zeng, Jiao-Yan
  • Ou, Hui
  • Tang, Tie-Qiao

Abstract

Most feedback strategies (FSs) have feedback delay, but little effort has been made to study this topic. In this paper, we incorporate the feedback delay into the mean velocity feedback strategy (MVFS) and vehicle number feedback strategy (VNFS), then propose two FSs to study the impacts of delay on each vehicle’s trip cost and the total cost in a two-route network. The numerical results indicate that the delay has some impacts on each vehicle’s trip cost and the system’s total cost and that the impacts are related to each vehicle’s initial time headway at the origin. The results can guide each driver to adjust his/her route choice at the origin when the initial time headway is very high.

Suggested Citation

  • Zeng, Jiao-Yan & Ou, Hui & Tang, Tie-Qiao, 2019. "Feedback strategy with delay in a two-route traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    • Handle: RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119312713
    DOI: 10.1016/j.physa.2019.122195
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    Cited by:

    1. Madaan, Nikita & Sharma, Sapna, 2022. "Delayed-feedback control in multi-lane traffic system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
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    3. Verma, Muskan & Sharma, Sapna, 2022. "Chaotic jam and phase transitions in a lattice model with density dependent passing," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    4. Verma, Muskan & Sharma, Sapna, 2023. "Modeling heterogeneity in an open percolation backbone fractal traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).

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