Automated real-time railway traffic control: an experimental analysis of reliability, resilience and robustness
Author:
Affiliation:
1. Institute for Transport Planning and Systems, ETH Zürich, Zurich, Switzerland
2. TRENOLab srls, Gorizia, Italy
3. Department of Transport and Planning, Delft University of Technology, Delft, Netherlands
Funder
EU FP7
State Key Laboratory of Rail Traffic Control & Safety, Beijing Jiaotong University
Publisher
Informa UK Limited
Subject
Transportation,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/03081060.2018.1453916
Reference42 articles.
1. Quantifying railway timetable robustness in critical points
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4. A model predictive control approach for discrete-time rescheduling in complex central railway station areas
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