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Optimization of a Traffic Control Scheme for a Post-Disaster Urban Road Network

Author

Listed:
  • Zengzhen Shao

    (School of Economics and Management, Southwest Jiaotong University, Chengdu 630031, China
    School of information and Technology, Shandong Women’s University, Jinan 250002, China)

  • Zujun Ma

    (School of Economics and Management, Southwest Jiaotong University, Chengdu 630031, China)

  • Shulei Liu

    (School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China)

  • Tongshuang Lv

    (School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China)

Abstract

Traffic control of urban road networks during emergency rescues is conducive to rapid rescue in the affected areas. However, excessive control will lead to negative impacts on the normal traffic order. We propose a novel model to optimize the traffic control scheme during the post-disaster emergency rescue period named PD-TCM (post-disaster traffic control model). In this model, the vertex and edge betweenness indexes of urban road networks are introduced to evaluate the controllability of the road sections. The gravity field model is also used to adjust the travel time function of different road sections in the control and diverging domains. Experimental results demonstrate that the proposed model can obtain the optimal traffic control scheme efficiently, which gives it the ability to meet the demand of emergency rescues as well as reducing the disturbances caused by controls.

Suggested Citation

  • Zengzhen Shao & Zujun Ma & Shulei Liu & Tongshuang Lv, 2017. "Optimization of a Traffic Control Scheme for a Post-Disaster Urban Road Network," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:68-:d:124701
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    Cited by:

    1. Xin Liu & Shunlong Li, 2022. "Impact of COVID-19 pandemic on low-carbon shared traffic scheduling under machine learning model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 987-995, December.

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