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PAN Shu-liang, YU Jie, LIU Yue. Integrated optimization model of pedestrian-public transit emergency evacuation[J]. Journal of Traffic and Transportation Engineering, 2014, 14(3): 79-86.
Citation: PAN Shu-liang, YU Jie, LIU Yue. Integrated optimization model of pedestrian-public transit emergency evacuation[J]. Journal of Traffic and Transportation Engineering, 2014, 14(3): 79-86.
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Integrated optimization model of pedestrian-public transit emergency evacuation

  • 1.

    School of Control Science and Engineering, Shandong University, Jinan 250061, Shandong, China

  • 2.

    Department of Civil Engineering and Mechanics, University of Wisconsin-Milwaukee, Milwaukee 53201, Wisconsin, USA

More Information
  • Author Bio:

    PAN Shu-liang (1986-), male, doctoral student, +86-531-66680117, panshuliang@gmail.com

    YU Jie (1979-), female, associate professor, PhD, +86-531-66680118, jie.yu@sdu.edu.cn

  • Received Date: 2013-11-17
  • Publish Date: 2014-06-25
    Abstract
  • Aiming at emergent event in large-scale public, an integrated optimization model of emergency evacuation was developed based on public transit.In the model, the problem of emergency evacuation was summarized as a two-level optimization network including pedestrian traffic flow and public transit network.The first-level framework guided evacuees from accident sites (e.g.buildings) to designated pick-up points (e.g.bus stops).The second-level framework properly dispatched and routed a fleet of buses at different transit depots to the pick-up points, and transported evacuees to safe places finally.Integrated optimization model was tested and verified by using a two-stage heuristic algorithm based on tabu search.Verification result indicates that 8 buses are used for the evacuation of all 328 people in the network.The output result of integrated optimization model is not sensitive to the change of weight assignment of objective function, so the model has strong robustness.Comparing with the optimization software of CPLEX, heuristic algorithm can get near optimum solution in 1 h, and the error between near optimum solution and optimal solution is less than 15%.The interactions betweenevacuees distribution and bus route optimization are fully considered in the model.The pedestrian traffic flow and the public transit network during evacuation process are concurrently optimized.

     

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