Development of accuracy of pedestrian model based on microscopic and macroscopic measurement data

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K04936
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 25020:Safety engineering-related
• Research Institution: Kansai University
• Principal Investigator: Kawaguchi Toshihiro 関西大学, 社会安全学部, 教授 (80234045)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 群集事故 / 歩行者シミュレーション / 歩行者行動モデル / 視点追跡

Outline of Final Research Achievements

Improvement of the accuracy of the numerical simulation of pedestrian flows is attempted in the present study by improving the pedestrian behavior model. Both the macroscopic and the microscopic measurements are performed. The macroscopic measurement is realized by video recording from a distant place. The microscopic measurement is realized by use of the eye tracker. The measurements are performed for the walking position on the street, the avoidance direction of a obstacle, and the behavior of bicycles-pedestrian flow on the sidewalk. Based on the measured data, parameters of the pedestrian behavior modes are determined to achieve the improvement of the accuracy of the pedestrian simulation.

Free Research Field

社会・安全システム科学

Academic Significance and Societal Importance of the Research Achievements

歩行者行動モデルを高精度化することで、階段やエスカレータ、非常口などの最適配置に歩行者シミュレーションを活用することができる。このことは、安心・安全な歩行者空間の設計に寄与できるものと期待される。特に本シミュレーション手法は力学ベースのモデルを用いているため、高密度な群集流にも適用できる。つまり、地震・火災等の発生時における建物からの避難のような状況にも適用可能であり、さらに群集事故の解析にも活用できる。