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

机译:基于路网集中度测度的疏散指导员位置优化方法

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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:疏散在对不可避免的灾难和紧急情况的响应过程中起着重要作用。与大量疏散人员相比,疏散指导人员的数量要少得多。疏散指导员的位置问题具有重大的现实意义,因为指导员的位置会影响疏散过程和疏散策略的优化。通常,由于部分信息和部分控制,疏散过程的复杂性以及较大的状态和决策空间,很难确定指导者的最佳位置。在本文中,我们考虑了这一重要问题,并做出了以下主要贡献。首先,我们使用基于事件的优化(EBO)理论对疏散问题进行建模。其次,我们开发了一种基于路网集中度度量的疏散指导员位置优化方法,并使用该方法来优化疏散过程。第三,我们通过数值结果评估我们方法的性能。我们希望这项工作能为疏散指导员位置优化问题带来深刻的见解。

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