Attempt to mitigate congestion by providing latent information with walk-rally application

Yuya Ieiri, Yuu Nakajima, Reiko Hishiyama

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

2 Citations (Scopus)

Abstract

At events and sightseeing spots, congestion can be a factor that lowers customer satisfaction, so there is need for methods that mitigate congestion. Currently, there are methods for mitigating congestion such as changing the layout of an event and restricting customer behavior. However, there are problems in that it is difficult to reduce congestion at events in which the layout cannot be changed, and there is a risk the satisfaction level will be reduced due to restricting customer behavior. Therefore, we propose a method aimed at reducing congestion by allowing users to voluntarily select a detour to avoid congestion by providing users with not only obvious information but latent information with a walk-rally application. In demonstration experiments at real events and sightseeing spots, we confirmed that the proposed method is effective at reducing congestion and clarified how to use latent information effectively for mitigating congestion.

Original languageEnglish
Title of host publicationProceedings of 2018 9th International Conference on E-Education, E-Business, E-Management and E-Learning, IC4E 2018
PublisherAssociation for Computing Machinery
Pages80-84
Number of pages5
ISBN (Electronic)9781450354851
DOIs
Publication statusPublished - 2018 Jan 11
Event9th International Conference on E-Education, E-Business, E-Management and E-Learning, IC4E 2018 - San Diego, United States
Duration: 2018 Jan 112018 Jan 13

Publication series

NameACM International Conference Proceeding Series

Other

Other9th International Conference on E-Education, E-Business, E-Management and E-Learning, IC4E 2018
Country/TerritoryUnited States
CitySan Diego
Period18/1/1118/1/13

Keywords

  • Congestion reduction
  • Detour
  • Non-monetary incentive
  • Walk-rally application

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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