Stochastic prediction of train delays in real-time using Bayesian networks

Author:

Corman FrancescoORCID,Kecman Pavle

Funder

FP7 European project Capacity4Rail and State Key Laboratory of Rail Traffic Control and Safety

Beijing Jiaotong University

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference55 articles.

1. Quantifying railway timetable robustness in critical points;Andersson;J. Rail Transport Plann. Manage.,2014

2. Prediction of arrival times of freight traffic on us railroads using support vector regression;Barbour;Transp. Res. Part C,2018

3. Rules of thumb: practical online-strategies for delay management;Bauer;Public Transport,2014

4. Bayissa, T.F., 2013. How do Delays Along the Way Influence Delays to Final Destination? Master thesis, Department of Civil and Transport Engineering, Norwegian University of Science and Technology, Trondheim.

5. Berger, A., Gebhardt, A., Müller-Hannemann, M., Ostrowski, M., 2011. Stochastic delay prediction in large train networks. In: Caprara, A., Kontogiannis, S., (Eds.), 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, Dagstuhl, pp. 100–111.

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