| 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 |
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| Section | 一般 |
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| Research Field |
Natural disaster / Disaster prevention science
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| Research Institution | Tokyo University of Science |
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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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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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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 / Vector Quantization / 災害対策 / CCN / 移動端末 / multi agent / mobile agent / ad hoc network / CDN / simulation |
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| 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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| 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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