Construction of A Route Choice Model for Application to A Pedestrian Flow Simulation

Ryo Nishida, Masaki Onishi, Koichi Hashimoto

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

Abstract

In a crowded environment, it is necessary to safely guide the pedestrians. To archive optimum guidance control, we need to know the manner in which pedestrians move. Therefore, several types of studies have been conducted to propose pedestrian flow simulations for reproducing the pedestrian movement under varying situations. In one of these studies, a simulation was performed by assuming that all pedestrians will follow a guidance control. However, there are pedestrians who do not follow the guidance control because they move based on their own intentions. Therefore, in this study, we model a route choice by considering human intention.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages614-619
Number of pages6
ISBN (Electronic)9781538691519
DOIs
Publication statusPublished - 2019 Mar
Event2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 - Kyoto, Japan
Duration: 2019 Mar 112019 Mar 15

Publication series

Name2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019

Conference

Conference2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
CountryJapan
CityKyoto
Period19/3/1119/3/15

Keywords

  • real crowd data
  • route choice

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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