人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
特集論文「エージェント技術とその応用2017」
火災避難時における土地鑑を考慮した徒歩経路探索モデルの提案
廣川 雄一西川 憲明山田 武志印南 潤二浅野 俊幸
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2017 年 32 巻 5 号 p. AG16-G_1-11

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Evacuation planning is important to mitigate the ill effects of a disaster, such as a fire in earthquakes. For the evacuation of pedestrians, the route choice should maximize the completion rate of the evacuation. Some models of route choice have assumed that pedestrians will recognize the road conditions and the shortest route to the refuge perfectly. However, the validity of the assumption is controversial. In this paper, we propose a new model of route choice, which considers the differences in map recognition between individual pedestrians: the position of the refuge, the cognition of the road and other factors. Then, we discuss an evacuation of pedestrians from a fire, based on the model, including changing the pedestrian’s recognition of the factors. We also utilize a microscopic pedestrian model for simulating the behavior of the pedestrian in the continuum space, based on its visibility. For example, the recognition of the route speeds up the evacuation and raises the completion rate of the evacuation, however, the effect is slight. In contrast, the pedestrian’s recognition of the refuge position more significantly affects the completion rate of the evacuation. These results imply that even rough guidance, such as giving pedestrians the direction of the destination, could increase the completion rate of evacuations significantly.

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© 人工知能学会 2017
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