| Title | Movement Recommendation System Based on Multi-Spot Congestion Analytics |
|---|---|
| ID_Doc | 42983 |
| Authors | Nakayama, K; Onoue, A; Hori, M; Shimada, A; Taniguchi, R |
| Title | Movement Recommendation System Based on Multi-Spot Congestion Analytics |
| Year | 2020 |
| Published | Sustainability, 12, 6 |
| 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. |
| https://www.mdpi.com/2071-1050/12/6/2417/pdf?version=1584707661 |
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