A spatial-temporal dynamic attention-based Mamba model for multi-type passenger demand prediction in multimodal public transit systems
Zhiqi Shao, Haoning Xi, David A. Hensher, Ze Wang, Xiaolin Gong, Junbin Gao
| Year of publication: |
2025
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|---|---|
| Authors: | Shao, Zhiqi ; Xi, Haoning ; Hensher, David A. ; Wang, Ze ; Gong, Xiaolin ; Gao, Junbin |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 202.2025, Art.-No. 104282, p. 1-42
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| Subject: | AI and deep learning | Multi-type passenger demand prediction | Multimodal public transit systems | Sparse attention | Spatial–temporal dynamic fusion | STDAtt-Mamba | Öffentlicher Nahverkehr | Local public transport | Theorie | Theory | Prognoseverfahren | Forecasting model | Personenverkehr | Passenger transport | Nachfrage | Demand |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2025.104282 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015451763