Optimal Control of Pedestrian Flows by Congestion Forecasts Satisfying User Equilibrium Conditions

Hiroaki Yamada, Naoyuki Kamiyama

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Reducing congestion is one of the most important issues in theme park management. Optimization algorithms for reducing congestion in theme parks using simulation optimization methods have been proposed. In many existing methods, theme park managers directly regulate the movement of visitors. However, restricting the freedom to wander considerably reduces the visitor satisfaction. Thus, when controlling congestion in theme parks, we must consider the trade-off between reducing congestion and restricting freedom. In this paper, we propose an indirect control method for pedestrian flows using congestion forecasts and information distribution. Specifically, we propose a simulation-based heuristic algorithm for the problem of finding an optimal information distribution policy for congestion forecasts satisfying user equilibrium conditions.

本文言語英語
ホスト出版物のタイトルPRIMA 2020
ホスト出版物のサブタイトルPrinciples and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings
編集者Takahiro Uchiya, Quan Bai, Iván Marsá Maestre
出版社Springer Science and Business Media Deutschland GmbH
ページ299-314
ページ数16
ISBN(印刷版)9783030693213
DOI
出版ステータス出版済み - 2021
イベント23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020 - Virtual, Online
継続期間: 11 18 202011 20 2020

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12568 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

会議

会議23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020
CityVirtual, Online
Period11/18/2011/20/20

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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