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Perimeter traffic control for single urban congested region with macroscopic fundamental diagram and boundary conditions

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  • Guo, Yajuan
  • Yang, Licai
  • Hao, Shenxue
  • Gu, Xinxin

Abstract

Macroscopic fundamental diagram (MFD) characterizes a unimodal and low-scatter relationship between traffic accumulation and trip completion rate for homogenous urban network, providing a new perspective for the development of regional congestion control strategies. This paper contributes to the state-of-the-art by proposing a perimeter traffic control strategy for single urban congested region with MFD model and boundary conditions. For an urban protected region, the MFD is introduced to capture network traffic dynamics and optimal capacity. When regional accumulation exceeds the optimal capacity, the restricted inflow distribution considering boundary condition constraints of real-time traffic flows and queue dynamics is used to formulate a perimeter traffic flow control strategy for adjusting traffic signal timing on the periphery of region. To proactively reduce the possibility of queue spillbacks at border links, the dynamic queue-dependent border gated points are also integrated into the proposed control method. The simulation experiment was performed using part of urban network in Jinan, China. The results demonstrate the proposed perimeter control method alleviates the issue of congestion and improves traffic performance in the protected region and at the boundaries.

Suggested Citation

  • Guo, Yajuan & Yang, Licai & Hao, Shenxue & Gu, Xinxin, 2021. "Perimeter traffic control for single urban congested region with macroscopic fundamental diagram and boundary conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
  • Handle: RePEc:eee:phsmap:v:562:y:2021:i:c:s0378437120307433
    DOI: 10.1016/j.physa.2020.125401
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    References listed on IDEAS

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    Cited by:

    1. Jinrui Zang & Pengpeng Jiao & Guohua Song & Zhihong Li & Tingyi Peng, 2022. "A Novel Environment Estimation Method of Whole Sample Traffic Flows and Emissions Based on Multifactor MFD," IJERPH, MDPI, vol. 19(24), pages 1-26, December.
    2. Li, Sutong & Kang, Leilei & Huang, Hao & Liu, Lan, 2023. "A perimeter control model of urban road network based on cooperative-noncooperative two-stage game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    3. Tang, Siyi & Zheng, Fangfang & Zheng, Nan & Liu, Xiaobo, 2024. "An efficient multi-modal urban transportation network partitioning approach for three-dimensional macroscopic fundamental diagram," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    4. Ding, Heng & Qian, Yu & Zheng, Xiaoyan & Bai, Haijian & Wang, Shiguang & Zhou, Jingwen, 2022. "Dynamic parking charge–perimeter control coupled method for a congested road network based on the aggregation degree characteristics of parking generation distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    5. Ma, Wenfei & Huang, Yunping & Jin, Xiao & Zhong, Renxin, 2024. "Functional form selection and calibration of macroscopic fundamental diagrams," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(C).

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