2020 Fiscal Year Final Research Report
Development of disaster evacuation guidance system using MANET
Project/Area Number |
17K01342
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Natural disaster / Disaster prevention science
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Research Institution | Tokyo University of Science |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
滝本 宗宏 東京理科大学, 理工学部情報科学科, 教授 (00318205)
神林 靖 日本工業大学, 先進工学部, 准教授 (40269527)
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Project Period (FY) |
2017-04-01 – 2021-03-31
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Keywords | 避難誘導 / 自然災害 / MANET / 機械学習 / 移動エージェント |
Outline of Final Research Achievements |
In this project, in order to support evacuees of natural disasters, we studied a system and its algorithm to establish a temporary network infrastructure in the disaster area to provide information for evacuation guidance. We formed a mobile ad hoc network among the mobile terminals of evacuees, and applied the technology of mobile agents as the information transmission infrastructure to carry information as close to the destination as possible when communication is possible. We also presented safe routes to evacuees on the ad hoc network. We proposed a method to analyze the images of the disaster area taken by a drone using machine learning.
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Free Research Field |
ネットワーク科学
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Academic Significance and Societal Importance of the Research Achievements |
自然災害の多い日本において,災害発生時の迅速な対応,被災者の避難を支援する技術は必要不可欠である。 この課題は火災,地震,津波などの自然災害が発生した際に,ドローンや被災者が持つスマートフォンなどの移動端末間で臨時ネットワークを構成し,災害時に倒壊する恐れのある既存のネットワークインフラを用いずに,避難を迅速に行うための情報や被災地の情報を被災者や災害対応者で共有するための研究を行った。
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