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- Title
Movement Recommendation System Based on Multi-Spot Congestion Analytics.
- Authors
Nakayama, Keita; Onoue, Akira; Hori, Maiya; Shimada, Atsushi; Taniguchi, Rin-ichiro
- 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.
- Subjects
SMART cities; POPULATION dynamics
- Publication
Sustainability (2071-1050), 2020, Vol 12, Issue 6, p2417
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su12062417