Train delays occur often in daily railway operations due to a variety of initiating incidents. On a heavily loaded mainline railway, a single train delay may lead to a series of secondary delays across the network. In this study, the authors describe a peer‐to‐peer system to solve train rescheduling problems in railway network bottlenecks. A designed Genetic Algorithm is chosen as the local search algorithm on each side. Based on the local search algorithm, different negotiation protocols are raised to find globally feasible solutions. The proposed approach is tested in a railway bottleneck section in the UK, and the computational result is compared with a centralised method to show its performance in terms of computation time and optimality.
Algorithm and peer‐to‐peer negotiation strategies for train dispatching problems in railway bottleneck sections
IET Intelligent Transport Systems ; 13 , 11 ; 1717-1725
2019-11-01
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
railway bottleneck section , genetic algorithms , peer‐to‐peer negotiation strategies , train rescheduling problems , local search algorithm , train delays , initiating incidents , train dispatching problems , scheduling , railways , daily railway operations , integer programming , delays , railway network bottlenecks , different negotiation protocols , rail traffic , peer‐to‐peer system , secondary delays , heavily loaded mainline railway , single train delay , designed Genetic Algorithm
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