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首页> 外文期刊>Annals of Operations Research >Emergency evacuation problem for a multi-source and multi-destination transportation network: mathematical model and case study
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Emergency evacuation problem for a multi-source and multi-destination transportation network: mathematical model and case study

机译:多源和多目的地运输网络的紧急疏散问题:数学模型和案例研究

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Disasters such as earthquake or tsunami can easily take the lives of thousands of people and millions worth of property in a fleeting moment. A successful emergency evacuation plan is critical in response to disasters. In this paper, we seek to investigate the multi-source, multi-destination evacuation problem. First, we construct a mixed integer linear programming model. Second, based onKshortest paths and user equilibrium, we propose a novel algorithm (hereafter KPUE), whose complexity is polynomial in the numbers of nodes and evacuees. Finally, we demonstrate the effectiveness of algorithm KPUE by a real evacuation network in Shanghai, China. The numerical examples show that the average computation time of the proposed algorithm is 95% less than that of IBM ILOG CPLEX solver and the optimality gap is no more than 5%.
机译:诸如地震或海啸等灾害可以轻松地将成千上万的人民和数百万财产的生命带到一个短暂的时刻。成功的紧急疏散计划对于对灾害的反应至关重要。在本文中,我们寻求调查多源,多目的地疏散问题。首先,我们构建混合整数线性编程模型。其次,基于基于的ONKshortest路径和用户均衡,我们提出了一种新颖的算法(以下kpue),其复杂性在节点和撤离的数量中是多项式。最后,我们展示了中国上海上海真正疏散网络算法鉴定算法的有效性。数值示例表明,该算法的平均计算时间比IBM ILOG CPLEX求解器的平均计算时间为95%,并且最优性间隙不大于5%。

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