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An evacuation guider location optimization method based on road network centrality measures

机译:一种基于道路网络中心措施的疏散导向器定位优化方法

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Evacuation plays an important role in the response process towards inevitable disasters and emergencies. Compared with the large number of evacuees, the number of evacuation guiders is much smaller. The evacuation guider location problem is of great practical importance, since the locations of guiders impact evacuation process and evacuation policy optimization. In general, it is difficult to identify the optimal locations of guiders due to the partial information and partial control, the complexity of evacuation process, and the large state and decision spaces. In this paper, we consider this important problem and make the following main contributions. First, we use the event-based optimization (EBO) theory to model the evacuation problem. Second, we develop an evacuation guider location optimization method based on road network centrality measures and use this method to optimize the evacuation process. Third, we evaluate the performance of our method through numerical results. We hope this work brings insight in evacuation guider location optimization problem.
机译:疏散在不可避免的灾害和紧急情况下对响应过程起着重要作用。与大量的疏散者相比,疏散指南的数量要小得多。疏散导游定位问题具有很大的实际重要性,因为指导员的位置会影响疏散流程和疏散政策优化。通常,由于部分信息和部分控制,疏散过程的复杂性以及大状态和决策空间,难以识别指导者的最佳位置。在本文中,我们认为这一重要问题并提出以下主要贡献。首先,我们使用基于事件的优化(EBO)理论来模拟疏散问题。其次,我们开发了一种基于道路网络中心度测量的疏散指导式定位方法,并使用该方法优化疏散过程。第三,我们通过数值结果评估我们的方法的性能。我们希望这项工作带来了疏散导游位置优化问题的洞察力。

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