Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
35th (2021)
Session ID : 1H4-GS-1c-04
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Optimization of evacuation shelter allocation avoiding intersections of evacuation routes by network division
*Masaya YAMAMOTOAtsuko MUTOHKoichi MORIYAMATohgoroh MATSUINobuhiro INUZUKA
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Abstract

In recent years, there have been many occurrences of earthquakes and other large-scale disasters. Since the Great East Japan Earthquake revealed that many residents do not know where to evacuate to in the event of a large-scale disaster, evacuation shelter allocation is currently an important issue. Okada et al. proposed a method for allocating evacuation centers using data on people's stay histories. However, this method has a problem that it does not take into account evacuation routes. In this study, we propose a method to determine whether or not the network in the area to be evacuated can be divided into buildings and evacuation shelters, and to obtain the allocation of evacuation shelters without intersecting evacuation routes. As a result of evaluation experiments, we found that the proposed method was able to avoid the crossing of evacuation routes, while the conventional method had the possibility of crossing evacuation routes.

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© 2021 The Japanese Society for Artificial Intelligence
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