2023 Fiscal Year Final Research Report
Development of Evacuation Simulation Method Based on Human Flow Estimation via WiFi Signal Measurements
| Project/Area Number |
20K14989
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 25010:Social systems engineering-related
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| Research Institution | Aichi Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | リアルタイム人流計測 / WiFiシグナル計測 / 避難シミュレーション |
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| Outline of Final Research Achievements |
Real-time estimation of human flow may be useful for evacuation guidance at places such as underground malls, where it is difficult to grasp the situation. For this reason, we have developed a real-time estimation method of human flow based on WiFi signal measurements. In addition, as a social application, we conducted a simulation of evacuation from ESCA underground shopping mall near by the Nagoya Station. The simulation showed that when the number of people can be estimated in real-time, the evacuation completion time can be shortened by providing appropriate evacuation guidance according to the number of evacuees, indicating the usefulness of the real-time human flow estimation framework.
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| Free Research Field |
社会システム科学
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| Academic Significance and Societal Importance of the Research Achievements |
社会データの入手にあたり，利用者が必要とする時空間スケールで十分な量の社会データを入手することは困難であり，任意の時空間スケールの社会データ取得フレームワークの有用性や応用可能性が示されることで，社会データの取得・共有が促進され，社会データを利用した研究分野が活性化されることが期待される．
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