Decomposition and distributed optimization of real-time traffic management for large-scale railway networks
Xiaojie Luan,
Bart De Schutter,
Lingyun Meng and
Francesco Corman
Transportation Research Part B: Methodological, 2020, vol. 141, issue C, 72-97
Abstract:
This paper introduces decomposition and distributed optimization approaches for the real-time railway traffic management problem considering microscopic infrastructure characteristics, aiming at an improved computational efficiency when tackling large-scale railway networks.
Keywords: Real-time traffic management; Decomposition; Distributed optimization; Large-scale railway network (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transb:v:141:y:2020:i:c:p:72-97
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DOI: 10.1016/j.trb.2020.09.004
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