Pedestrian simulator for indoor layout designs aiming at natural dense relaxation

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K04597
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 25030:Disaster prevention engineering-related
• Research Institution: National Institute of Technology, Toyama College
• Principal Investigator: Ito Nao 富山高等専門学校, 電子情報工学科, 准教授 (30635214)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 群集歩行 / Social Force Model / ポテンシャル法 / パーソナルスペース / レイアウトシミュレータ

Outline of Final Research Achievements

In this study, we constructed a crowd walking model in consideration of shrink of personal space. In this model, because the deadlock which means that the crowd can not move anymore is caused, we solved this problem by proposing a new model which is introduced the potential method. In this new model, we reproduced the obstacle setting characteristic of pedestrian flow in the real experiment without deadlock. By using this model and the genetic algorithm, we designed the setting position of plural obstacles that the flow coefficient becomes high. Namely, by using the proposal model in this study, it has become possible to design indoor layouts with specific purposes. Therefore, it is suggested that an indoor layout simulator using our model can naturally mitigate dense crowd in commercial facilities.

Free Research Field

マルチエージェントシミュレーション

Academic Significance and Societal Importance of the Research Achievements

本研究の学術的意義は，①デッドロックを回避しつつ被験者実験における障害物設置特性が再現可能な群集歩行モデルを提案したこと，②本研究の提案モデルと遺伝的アルゴリズムを用いることで特定の目的に即した屋内レイアウトが設計可能であることを示唆したことの2点である．これらにより，不特定多数が集まる商業施設等において，建物の構造と屋内レイアウトを同時に議論・設計することが可能となった．建造前に施設の避難容易性を評価することが可能となるであろうことを示した本研究の意義は大きい．