A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Movement Recommendation System Based on Multi-Spot Congestion Analytics
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.
Movement Recommendation System Based on Multi-Spot Congestion Analytics
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.
Movement Recommendation System Based on Multi-Spot Congestion Analytics
Keita Nakayama (author) / Akira Onoue (author) / Maiya Hori (author) / Atsushi Shimada (author) / Rin-ichiro Taniguchi (author)
2020
Article (Journal)
Electronic Resource
Unknown
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