Application of an iterative framework for real-time railway rescheduling

DOI10.1016/j.cor.2016.08.011zbMath1391.90253OpenAlexW2509953349MaRDI QIDQ1652076

Leo G. Kroon, Dennis Huisman, Twan Dollevoet, Lucas P. Veelenturf, Joris Camiel Wagenaar

Publication date: 11 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1765/93437

zbMATH Keywords

disruption managementrailway operationsalgorithmic framework

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Deterministic scheduling theory in operations research (90B35) Traffic problems in operations research (90B20)

Related Items (7)

Effective train routing selection for real-time traffic management: improved model and ACO parallel computing ⋮ A multi-objective optimization-simulation approach for real time rescheduling in dense railway systems ⋮ Set covering heuristics in a benders decomposition for railway timetabling ⋮ Public transport for smart cities: recent innovations and future challenges ⋮ An exact approach for the personnel task rescheduling problem with task retiming ⋮ A decision making procedure for robust train rescheduling based on mixed integer linear programming and data envelopment analysis ⋮ Accelerating logic-based benders decomposition for railway rescheduling by exploiting similarities in delays

Cites Work

• The train driver recovery problem-a set partitioning based model and solution method
• Adjusting a railway timetable in case of partial or complete blockades
• A branch and bound algorithm for scheduling trains in a railway network
• Simultaneous disruption recovery of a train timetable and crew roster in real time
• A rolling stock circulation model for combining and splitting of passenger trains
• An Exact Decomposition Approach for the Real-Time Train Dispatching Problem

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