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The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach

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arxiv 2401.12073 v2 pith:TK2WIAVT submitted 2024-01-22 cs.CE

classification cs.CE
keywords railwaytimeallocationslotinfrastructuremarketpassengerproblem
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The liberalisation of the European passenger railway markets through the European Directive EU 91/440/EEC states a new scenario where different Railway Undertakings compete with each other in a bidding process for time slots. The infrastructure resources are provided by the Infrastructure Manager, who analyses and assesses the bids received, allocating the resources to each Railway Undertaking. Time slot allocation is a fact that drastically influences the market equilibrium. In this paper, we address the time slot allocation problem within the context of a liberalized passenger railway market as a multi-objective model. The Infrastructure Manager is tasked with selecting a point from the Pareto front as the solution to the time slot allocation problem. We propose two criteria for making this selection: the first one allocates time slots to each company according to a set of priorities, while the second one introduces a criterion of fairness in the treatment of companies to incentive competition. The assessment of the impact of these rules on market equilibrium has been conducted on a liberalized high-speed corridor within the Spanish railway network.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. An approach to the timetabling problem in deregulated railway markets based on metaheuristic algorithms

    cs.NE 2025-04 conditional novelty 5.0 of 10

    A Genetic Algorithm, combined with a deterministic greedy scheduler, outperforms nine other metaheuristics and a time-limited SCIP solver in maximizing infrastructure revenue on a synthetic liberalized railway timetab...

  2. Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets

    cs.NE 2025-04 conditional novelty 4.0 of 10

    A genetic algorithm with adapted equality indices produces substantially more equitable timetables than revenue-maximizing allocation in synthetic liberalized rail markets, while trading off revenue.

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