Prediction of the Delay Time of Public Transportation Using Machine Learning-Reference-Cited by-同舟云学术

Prediction of the Delay Time of Public Transportation Using Machine Learning

Published:2024 Issue: Volume: Page:283-294
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:en
Short-container-title:

Author:

Piaskowska Alicja^ORCID,Hernes Marcin^ORCID,Walaszczyk Ewa^ORCID,Kozina Agata^ORCID,Czerniachowska Kateryna^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-70248-8_22

Reference12 articles.

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3. Heppe, L., Liebig, T.: Real-time public transport delay prediction for situation-aware routing. In KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, 25–29 September 2017, Proceedings 40, pp. 128–141. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67190-1_10

4. Jabamony, J., Shanmugavel, G.R.: IoT-based bus arrival time prediction using artificial neural network (ANN) for smart public transport system (SPTS). Int. J. Intell. Eng. Syst. 13(1), 312–323 (2020)

5. Farooq, M.U., Shakoor, A., Siddique, A.B.: GPS-based public transport arrival time prediction. In: 2017 International Conference on Frontiers of Information Technology (FIT), pp. 76–81. IEEE (2017)