Movement recommendation system based on multi-spot congestion analytics

Keita Nakayama, Akira Onoue, Maiya Hori, Atsushi Shimada, Rin ichiro Taniguchi

Research output: Contribution to journalArticle

Abstract

Abstract: A method is proposed for resolving human congestion at a specific time at key spots in an area. Sensing data on real-world human flows are analyzed, and important information for changing movement behavior is accordingly provided. By using conventional approaches, this was a difficult task, whereas in the proposed approach, the targets and timing of providing information for congestion mitigation are determined based on spot importance. A congestion transition model is constructed from actual data and the results of a questionnaire survey. Finally, congestion mitigation in key spots is simulated after movement recommendation has been provided.

Original languageEnglish
Article number2417
JournalSustainability (Switzerland)
Volume12
Issue number6
DOIs
Publication statusPublished - Mar 1 2020

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

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