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Incident-based traffic congestion control strategy

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Abstract

Traffic incident happens frequently in urban traffic network and it affects normal operation of traffic system seriously so that study on incident-based congestion control strategies is very important. This study addresses the problem of the temporary vehicle movement bans design under incident-based traffic congestion situation. A bi-level programming model is proposed to formulate this problem. The upper level problem is to minimize the total travel cost in the view of traffic management agencies, and the lower level problem is to present travelers’ dynamic route choice behavior under temporary vehicle movement bans using the simulation of cell transmission model, then a genetic algorithm is employed to solve the proposed bi-level programming model. Computational results show that the temporary vehicle movement bans measure is able to alleviate the traffic network incident-based congestion effectively and improve system performance of traffic network.

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Authors and Affiliations

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China

    AoMuHan Zhang

  2. Institute of System Science, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China

    ZiYou Gao & HuaLing Ren

Authors
  1. AoMuHan Zhang
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  2. ZiYou Gao
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  3. HuaLing Ren
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Correspondence to ZiYou Gao.

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Zhang, A., Gao, Z. & Ren, H. Incident-based traffic congestion control strategy. Sci. China Technol. Sci. 54, 1338–1344 (2011). https://doi.org/10.1007/s11431-011-4337-9

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  • DOI: https://doi.org/10.1007/s11431-011-4337-9

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