Deep Learning Framework for Predicting Bus Delays on Multiple Routes Using Heterogenous Datasets
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s42421-020-00031-y.pdf
Reference35 articles.
1. Altinkaya M, Zontul M (2013) Urban bus arrival time prediction: a review of computational models. Int J Recent Technol Eng 2:164–169
2. Arik S, Pfister T (2019). TabNet: Attentive Interpretable Tabular Learning. http://arxiv.org/abs/1908.07442
3. Bai C, Peng Z, Lu Q, Sun J (2015) Dynamic bus travel time prediction models on road with multiple bus routes. Comput Intell Neurosci. https://doi.org/10.1155/2015/432389
4. Balasubramanian P, Rao K (2015) An adaptive long-term bus arrival time prediction model with cyclic variations. J Public Transp 18(1):1–18. https://doi.org/10.5038/2375-0901.18.1.6
5. Brakewood C, Macfarlane G, Watkins K (2015) The impact of real-time information on bus ridership in New York city. Transp Res Part C Emerg Technol 53:59–75. https://doi.org/10.1016/j.trc.2015.01.021
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