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首页> 外文期刊>Mathematical Problems in Engineering >A Vehicle Route Planning Method of Two-Phase Large-Scale Crowd Evacuation in Typhoon Relief Activities
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A Vehicle Route Planning Method of Two-Phase Large-Scale Crowd Evacuation in Typhoon Relief Activities

机译：台风救济活动中两阶段大规模人群疏散的车辆路线规划方法

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摘要

Large-scale crowd evacuation is an important measure guaranteeing the safety of disaster-stricken victims in typhoon relief activities. Decision-making related to antityphoon crowd evacuation must take full consideration of the destructive effect of typhoons and their secondary disasters, time urgency, and resource limitation. To give full play to limited vehicle resources, the influence of a typhoon and its secondary disasters on antityphoon evacuation are mainly manifested during the execution of evacuation tasks in this article. The shortest time spent in completing all evacuation tasks was taken as the objective. Then, a vehicle route selection model for two-phase large-scale antityphoon crowd evacuation was built under an uncertain environment, and a matrix encoding-based genetic algorithm was designed to solve the model. Under the background of Super Typhoon Meranti in 2016, the model and algorithm were applied to crowd evacuation in a typhoon in Xiamen for a simulated analysis. Results indicate that in typhoon relief activities, emergency decision makers can use the proposed method to acquire a scientific and reasonable route selection scheme for antityphoon crowd evacuation according to related typhoon disaster data.
机译：大规模人群疏散是保证灾害受害者在台风救济活动中的安全性的重要措施。与亚级人群疏散有关的决策必须充分考虑台风及其二级灾害，时间紧迫和资源限制的破坏性效果。为了充分发挥有限的车辆资源，台风及其二次灾害对亚级灾害的影响主要表现为在本文中的疏散任务的执行期间表现出。在完成所有疏散任务的最短时间被视为目标。然后，在不确定的环境下建立了一种用于两相大型静脉疏散的车辆路线选择模型，设计了一种基于矩阵的基于遗传算法来解决模型。在2016年超级台风公司的背景下，模型和算法应用于厦门台风中的人群疏散，以进行模拟分析。结果表明，在台风救济活动中，应急决策者可以利用该方法来根据相关台风灾难数据来获取私有药物人群疏散的科学合理的路线选择方案。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第19期|9539746.1-9539746.9|共9页
  • 作者

    Zhan Sha-lei; Chen Liang; Chen Ping-Kuo; Ye Yong;

  • 作者单位

    Zhejiang Gongshang Univ Sch Management & E Business Hangzhou 310018 Zhejiang Peoples R China;

    Wenzhou Univ Coll Math Phys & Elect Informat Engn Wenzhou Peoples R China;

    Wenzhou Business Coll Dept Logist Management Wenzhou Peoples R China;

    Wenzhou Med Univ Sch Publ Hlth & Management Dept Management Wenzhou Peoples R China;

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