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

Hiroaki Yamada, Naoyuki Kamiyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationPRIMA 2020
Subtitle of host publicationPrinciples and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings
EditorsTakahiro Uchiya, Quan Bai, Iván Marsá Maestre
PublisherSpringer Science and Business Media Deutschland GmbH
Pages299-314
Number of pages16
ISBN (Print)9783030693213
DOIs
Publication statusPublished - 2021
Event23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020 - Virtual, Online
Duration: Nov 18 2020Nov 20 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12568 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd 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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