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Emergency Rescue Resource Dispatch of Expressway based on Potential Accidents and GA: Case Study of Henan, China

机译:基于潜在事故和GA的高速公路紧急救援资源调度:河南,中国河南案例研究

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Emergency rescue dispatch is not only influenced by current accidents but also influenced by potential accidents, which are caused by current accidents. In this paper, emergency rescue process is introduced in detail to cognize rescue stages, rescue components and rescue resource. According to relationship of rescue sites and dispatch cost, dispatch paradox of potential accidents is elaborated to show that potential accidents have significant impact upon emergency rescue dispatch. In order to minimize the overall dispatch cost, emergency rescue resource dispatch model of expressway is established based on opportunity cost model, improved scene decomposition algorithm and genetic algorithm (GA) with regard to potential accidents. Considering different rescue resource, dispatch schemes for optimization results are analyzed through case study of Henan expressway, China. Results indicate that these methods could accord with practical dispatch operation for emergency rescue process and emerge good effect.
机译:紧急救援派遣不仅受到目前事故的影响,而且受到潜在事故的影响,这是由当前事故引起的。本文详细介绍了应急救援过程,以认识救援阶段,救援部件和救援资源。根据救援场所的关系和发货成本,阐述了潜在事故的派遣悖论,以表明潜在事故对紧急救援派遣产生重大影响。为了最大限度地减少总调度成本,基于机会成本模型,改进的场景分解算法和遗传算法(GA)关于潜在事故,建立了高速公路的紧急救援资源调度模型。考虑到不同的救援资源,通过对中国河南高速公路的案例研究分析了优化结果的调度方案。结果表明,这些方法可以符合应急救援过程的实际派遣操作,并出现良好效果。

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