Deep-learning-based model for prediction of crowding in a public transit system
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12469-024-00360-z.pdf
Reference64 articles.
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4. Alsger A, Tavassoli A, Mesbah M, Ferreira L, Hickman M (2018) Public transport trip purpose inference using smart card fare data. Transp Res Part C Emerg Technol 87:123–137. https://doi.org/10.1016/j.trc.2017.12.016
5. Arabghalizi T, Labrinidis A (2020) Data-driven bus crowding prediction models using context-specific features. ACM/IMS Trans Data Sci 1(3):1–33. https://doi.org/10.1145/3406962
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