Exhaustive Search of Large-scale Crowd-starting Schemes Using Hierarchical Iterative Grid Search Method

• Published in: Transaction of the Japan Society for Simulation Technology Vol. 16; no. 2; pp. 81 - 90
• Main Author: Nishikawa, Noriaki
• Format: Journal Article
• Language: Japanese
• Published: Japan Society for Simulation Technology 2024; 日本シミュレーション学会
• Subjects: Hierarchical Iterative Grid Search Method; Pedestrian Simulation; Walking Event; Wave Start; ウェーブスタート; ウォーキング大会; 歩行者シミュレーション; 階層型反復格子探索法
• ISSN: 1883-5031; 1883-5058
• DOI: 10.11308/tjsst.16.81

In order to alleviate congestion at the start of large-scale marathons and walking events, efforts are being made on a trial basis to adopt a wave start, in which participants form groups and start in a series of waves, instead of the conventional mass start. In this paper, we conducted an exhaustive search for a crowd-starting scheme that maximizes the event satisfaction felt by participants in a large-scale walking event by using complementary microscopic and macroscopic models that describe the behavior of pedestrians. As a result, we quantitatively clarified how the wave arrangement and the time gap between the start of each wave should be in a wave start.