Spatial-temporal deep learning model based on Similarity Principle for dock shared bicycles ridership prediction
Demand prediction plays a critical role in traffic research. The key challenge of traffic demand prediction lies in modeling the complex spatial dependencies and temporal dynamics. However, there is no mature and widely accepted concept to support the solution of the above challenge. Essentially, ...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Minnesota Libraries Publishing
2024-02-01
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| Series: | Journal of Transport and Land Use |
| Subjects: | |
| Online Access: | https://www.jtlu.org/index.php/jtlu/article/view/2348 |
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