研究成果全体を分かりやすくまとめた冊子

■未来社会創造事業成果集 (PDF)

■JSTnews 2025年４月号 (PDF)

実際の様々な場所で群集マネジメントを実践

群集マネージャー制度の発足

一般社団法人「公共安全推進協会」が認定
群集マネージャー資格制度が2024年より発足
公共安全推進アカデミー内に「群集マネジメント講座」のオンライン講座を開講

群集シミュレーション検証マニュアル

群集シミュレーション研究会による検証マニュアルが完成　　ダウンロード
以下の5通りの状況について正しく現象を再現できるか？

群集マネジメント・プラットフォーム　CMPaaS

センシング＋シミュレーション＋コントロールを束ねるプラットフォームが完成

書籍

受賞

研究論文

  • Journal of Disaster Research 特集号　Vol.19 No.2 pp. 237-410 (2024)

    This special issue summarizes the research findings of the “Crowd Control Adaptive to Individual and Group Attributes” project, which is selected as a full-scale research project under the “Development of the Crisis Navigator for Individuals” prioritized theme of the JST Mirai Program* . Despite the lingering memory of the 2022 crowd accident in Itaewon, South Korea, similar accidents have occurred worldwide, including the firework display in Akashi, Japan, and the Love Parade in Germany. Addressing this social issue is imperative. To significantly reduce the risk of crowd accidents, this project aimed to elucidate the mechanism underlying human flow stagnation and establish a method to effectively guide the flow of people. Our approach involves creating a mathematical model that can estimate the flow of people by considering individual and group attributes, such as wheelchair and group behavior, to accurately predict flow stagnation. Based on these predictions, we developed a system that provides individuals with information on movement and utilizes technology to guide crowd flow, drawing principles from game theory and nudge theory. This system is characterized by integrating information on human flow, environmental factors, simulation results for predicting future conditions, and crowd control measures within the Crowd Management Platform as a Service (CMPaaS). Furthermore, we conducted demonstration tests at shopping malls, train stations, and event venues, and found that it offers valuable guidance to achieve risk reduction effects at real-world sites. In this special issue, the first paper presents an overview of the newly created crowd management platform. Thereafter, it is organized into 16 articles presenting current research results categorized under Simulation, Theory, Control, Experiment, and Data Analysis, followed by a note on visitor trajectories in indoor facilities. We anticipate that the outcomes of this study will facilitate interdisciplinary research in this field and promote the social implementation of crowd management platforms to prevent crowd accidents, thus creating a society where everyone can move safely, securely, comfortably, and efficiently.
    * Mirai means “Future” in Japanese. The program is administered by the Japan Science and Technology Agency (JST) and funded by the Ministry of Education, Culture, Sports, Science and Technology (MEXT).
  • anida, S., Kim, H., Feliciani, C. et al. Quantifying crowding perception at large events using beacons and surveys. Sci Rep 15, 991 (2025). プレスリリース記事
  • Xiaolu Jia, Hisashi Muramaki, Claudio Feliciani, Daichi Yanagisawa, Katsuhiro Nishinari,
    “Pedestrian lane formation and its influence on egress efficiency in the presence of an obstacle”
    Safety Science, 144 (2021): 105455
  • Geng Cui, Daichi Yanagisawa, Katsuhiro Nishinari,
    “Incorporating genetic algorithm to optimise initial condition of pedestrian evacuation based on agent aggressiveness”　
    Physica A: Statistical Mechanics and its Applications,July 2021, 126277
  • Hisashi Murakami, Claudio Feliciani, Yuta Nishihama, Katsuhiro Nishinari,
    “Mutual anticipation can contribute to self-organization in human crowds”
    SCIENCE ADVANCES 17 Mar 2021 Vol 7, Issue 12, DOI:10.1126/sciadv.abe7758