A Study on Simulation and Optimization for Personnel and Vehicle Coordination Evacuation in Case of Emergency

نویسندگان

  • YUNLONG MA
  • FENG ZHANG
  • JIAN WANG
چکیده

A novel approach is proposed in this paper for personnel and vehicle iterative evacuation optimization to tackle crowd evacuation problem in emergency. The paper analyzes the mechanism to coordinate people flow evacuation with traffic stream evacuation, and explores optimization model from a personnel and vehicle coordination evacuation perspective. The evacuation is classified as two categories, namely evacuation with intervention and evacuation without intervention, which depends on whether intervention can be applied to path selection for evacuees. Scheduling scheme of evacuation vehicles is derived from improved ant colony algorithm, and then we integrate personnel evacuation simulation with micro traffic simulation system based on distributed collaborative simulation platform. Finally the optimal scheduling solution of system is searched out through constantly modifying evacuation plan by improved genetic algorithm.

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تاریخ انتشار 2013