Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction
Urban metro flow prediction is of great value for metro operation scheduling, passenger flow management and personal travel planning. However, the problem is challenging. First, different metro stations, e.g. transfer stations and non-transfer stations have unique traffic patterns. Second, it is dif...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE Computer Society
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |