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Train Dispatching Management With Data- Driven Approaches: A Comprehensive Review and Appraisal

  • Published:2019 Issue: Volume:7 Page:114547-114571
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Wen ChaoORCID,Huang Ping,Li Zhongcan,Lessan Javad,Fu Liping,Jiang Chaozhe,Xu Xinyue

Funder

National Natural Science Foundation of China

State Key Laboratory of Rail Traffic Control and Safety

Open Research Fund for National Engineering Laboratory of Integrated Transportation Big Data Application Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 51 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Disturbance-Driven Textual Model for Train Running Time Prediction on High-Speed Railways;Journal of Transportation Engineering, Part A: Systems;2024-10

2. Railway Signal Digitalization with the European Rail Traffic Management System and Positive Train Control: Industry 4.0 Expectations and Reality;Transportation Research Record: Journal of the Transportation Research Board;2024-08-06

3. Understanding Incident Effects on Subway Operations: Clustering Analysis of Severity Patterns;Transportation Research Record: Journal of the Transportation Research Board;2024-07-24

4. Explainable train delay propagation: A graph attention network approach;Transportation Research Part E: Logistics and Transportation Review;2024-04

5. Handling uncertainty in train timetable rescheduling: A review of the literature and future research directions;Transportation Research Part E: Logistics and Transportation Review;2024-03
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