Using spatio‐temporal deep learning for forecasting demand and supply‐demand gap in ride‐hailing system with anonymised spatial adjacency information
Abstract To reduce passenger waiting time and driver search friction, ride‐hailing companies need to accurately forecast spatio‐temporal demand and supply‐demand gap. However, due to spatio‐temporal dependencies pertaining to demand and supply‐demand gap in a ride‐hailing system, making accurate for...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-07-01
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| Series: | IET Intelligent Transport Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/itr2.12073 |