Modeling dwell time in a data-rich railway environment: With operations and passenger flows data
Author:
Publisher
Elsevier BV
Subject
Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering
Reference33 articles.
1. Prediction of bus travel time using artificial neural network;Amita;Int. J. Traffic Transp. Eng.,2015
2. Random forests;Breiman;Mach. Learn.,2001
3. Development of a dwell time calculation model for timetable planning;Buchmüller;WIT Trans. Built Environ.,2008
4. Chen, Tianqi, Guestrin, Carlos, 2016. XGBoost: A scalable tree boosting system. In: Proceedings of the 22nd SIGKDD Conference on Knowledge Discovery and Data Mining. pp. 785–794.
5. An ELM-based approach for estimating train dwell time in urban rail traffic;Chu;Math. Probl. Eng.,2015
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