Effective train routing selection for real-time traffic management: improved model and ACO parallel computing

DOI10.1016/j.cor.2022.105859OpenAlexW4280505647MaRDI QIDQ2147150

B. Pascariu, Paola Pellegrini, Dario Pacciarelli, Joaquin Rodriguez, Andrea D'Ariano, Marcella Samà

Publication date: 22 June 2022

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

Full work available at URL: https://doi.org/10.1016/j.cor.2022.105859

zbMATH Keywords

parallel computingant colony optimizationrail transportationdisturbance managementtrain scheduling and routing

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Uses Software

• irace

Cites Work

• Unnamed Item
• Routing trains through railway stations: Complexity issues
• Application of an iterative framework for real-time railway rescheduling
• A variable neighbourhood search for fast train scheduling and routing during disturbed railway traffic situations
• Using a general-purpose mixed-integer linear programming solver for the practical solution of real-time train rescheduling
• Job-shop scheduling with blocking and no-wait constraints
• Real-time optimization strategy for single-track high-speed train rescheduling with disturbance uncertainties: a scenario-based chance-constrained model predictive control approach
• Dispatching and coordination in multi-area railway traffic management
• A heuristic approach to solving the train traffic re-scheduling problem in real time
• A branch and bound algorithm for scheduling trains in a railway network
• Scheduling local and express trains in suburban rail transit lines: mixed-integer nonlinear programming and adaptive genetic algorithm
• The dispatching problem on multitrack territories: Heuristic approaches based on mixed integer linear programming

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