A Bayesian network model to predict the effects of interruptions on train operations-Reference-Cited by-同舟云学术

A Bayesian network model to predict the effects of interruptions on train operations

Published:2020-05 Issue: Volume:114 Page:338-358
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Huang Ping,Lessan Javad,Wen Chao,Peng Qiyuan,Fu Liping,Li Li,Xu Xinyue

Funder

National Nature Science Foundation of China

Science & Technology Department of Sichuan Province

Doctoral Innovation Fund Program of Southwest Jiaotong University

China Scholarship Council

Publisher

Elsevier BV

Subject

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

Reference61 articles.

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4. Berger, A., Gebhardt, A., Müller-Hannemann, M., Ostrowski, M., 2011. Stochastic delay prediction in large train networks. In: 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.

5. The multi-objective railway timetable rescheduling problem;Binder;Transport. Res. Part C: Emerg. Technol.,2017

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