Urban Parking Demand Forecasting Using xLSTM-Informer Model
With the rapid advancement of urbanization, traffic congestion and parking shortages have emerged as critical challenges for modern cities. Accurate parking demand forecasting plays a pivotal role in supporting intelligent traffic management, resource allocation, and the efficient operation of parki...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2025-01-01
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| Серии: | IEEE Access |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/10982176/ |
| Метки: |
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