Volume 39 Issue 4
Aug.  2021
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DOU Xuejing, WANG Aihui, SUN Feifei. The Optimized Scheduling of Emergency Supplies in Highways Under Emergencies[J]. Journal of Transport Information and Safety, 2021, 39(4): 52-59. doi: 10.3963/j.jssn.1674-4861.2021.04.007
Citation: DOU Xuejing, WANG Aihui, SUN Feifei. The Optimized Scheduling of Emergency Supplies in Highways Under Emergencies[J]. Journal of Transport Information and Safety, 2021, 39(4): 52-59. doi: 10.3963/j.jssn.1674-4861.2021.04.007

The Optimized Scheduling of Emergency Supplies in Highways Under Emergencies

doi: 10.3963/j.jssn.1674-4861.2021.04.007
  • Received Date: 2021-01-30
  • The optimized scheduling of emergency supplies in highways is studied to reduce personal injury and property loss caused by emergencies. This paper considers the situations of road damage after accidents, uncertain demand for emergency supplies, and different demand urgency of each accident point. According to the states of road damage after an accident, the revised driving speed of the rescue vehicle is determined. The fuzzy emergency supplies demand of the accident spots is transformed into a determined value using triangular fuzzy theory. Based on the traditional TOPSIS method, subjective and objective methods are used to determine the weight of indicators. The type-B correlation degree is used to objectively describe the distance between the evaluation object and ideal solutions. The demand urgency coefficients of each accident point are obtained by the above method to ensure the fairness of scheduling. On this basis, a multi-objective optimization model of emergency supplies schedule is established for the threelevel dispatching network. Taking Ya'an Earthquake as a case study, the fast non-dominant sequential genetic algorithm with the elite strategy(NSGA-Ⅱ)is used to solve the model. The results show that introducing demand urgency into the emergency supplies schedule can realize the priority distribution of accident points with high demand urgency.The emergency supplies scheduling scheme saves the delivery time by 21%, reduces the vehicle transportation cost by 25%, and meets the supplies demand by 100%. Considering the post-disaster road damage and fuzzy demand, the schedule optimization of emergency supplies is more consistent with the actual situation.

     

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