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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2012  >  12(6): 104-110
LIN Ci-yun, GONG Bo-wen, ZHAO Ding-xuan, LIU Xue-lian. Traffic control and VMS collaborative technique in sudden disaster[J]. Journal of Traffic and Transportation Engineering, 2012, 12(6): 104-110. doi: 10.19818/j.cnki.1671-1637.2012.06.016
Citation: LIN Ci-yun, GONG Bo-wen, ZHAO Ding-xuan, LIU Xue-lian. Traffic control and VMS collaborative technique in sudden disaster[J]. Journal of Traffic and Transportation Engineering, 2012, 12(6): 104-110. doi: 10.19818/j.cnki.1671-1637.2012.06.016
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Traffic control and VMS collaborative technique in sudden disaster

doi: 10.19818/j.cnki.1671-1637.2012.06.016
  • 1.

    State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, Jilin, China

  • 2.

    School of Traffic, Jilin University, Changchun 130012, Jilin, China

  • 3.

    School of Mechanical Science and Engineering, Jilin University, Changchun 130012, Jilin, China

  • 4.

    School of Mechanical Engineering, Ningbo University of Technology, Ningbo 315211, Zhejiang, China

More Information
  • Author Bio:

    LIN Ci-yun(1980-), male, lecturer, PhD, +86-431-85095591, linciyun@jlu.edu.cn

  • Received Date: 2012-07-18
  • Publish Date: 2012-12-25
    Abstract
  • The influence scope of variable message signs(VMS) was estimated, and a collaborative model integrated of traffic control and VMS was constructed. The route choice behavior of driver was impacted by VMS, and the development of network traffic flow was guided by VMS to the optimization distribution mode. The interception and shunt of network traffic flow were fulfilled by adjusting intersection signal parameters in traffic control to form an optimal traffic flow distribution mode. The model was optimized and solved by combining Frank-Wolfe equilibrium assignment and genetic algorithm. The model and algorithm were developed by using Paramics API. In the condition of network with burst disaster, the model and algorithm were verified by taking software Paramics as simulation platform and Zibo New District of Shandong Province as simulation network. Verified result shows that with the increase of road network saturation, compared with Synchro model, the effect of the model is more obvious in improving performance indexes of road network traffic flow, the ability promoting the stability of road network's traffic flow is stronger, and the equilibrium assignment ability of road network loading is better. When the evacuation of traffic flow for sudden disaster completes 80%, and the link saturations of road network are not more than 0.8, between 0.8 and 1.0, more than 1.0 respectively, compared with Synchro model, the evacuation times respectively decrease by 11.55, 21.84, 25.64 min, the evacuation speed respectively increase by 25.98%, 31.83%, 20.16%.

     

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