Bus Journey Time Prediction with Machine Learning: An Empirical Experience in Two Cities-Reference-Cited by-同舟云学术

Bus Journey Time Prediction with Machine Learning: An Empirical Experience in Two Cities

Published:2023 Issue: Volume: Page:105-120
ISSN:0302-9743
Container-title:Web and Wireless Geographical Information Systems
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Author:

Dunne Laura^ORCID,Rocco Di Torrepadula Franca^ORCID,Di Martino Sergio^ORCID,McArdle Gavin^ORCID,Nardone Davide^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-34612-5_7

Reference21 articles.

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2. Cats, O., Loutos, G.: Evaluating the added-value of online bus arrival prediction schemes. Transp. Res. Part A Policy Pract. 86, 35–55 (2016)

3. Central Statistics Office: Use of Public Transport - CSO - Central Statistics Office (2019). https://www.cso.ie/en/releasesandpublications/ep/p-nts/nationaltravelsurvey2019/useofpublictransport/

4. Cristóbal, T., Padrón, G., Quesada-Arencibia, A., Alayón, F., de Blasio, G., García, C.R.: Bus travel time prediction model based on profile similarity. Sensors 19(13), 2869 (2019)

5. Currie, G.: Bus transit oriented development - strengths and challenges relative to rail. J. Public Transp. 9(4), 1–21 (2006)

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