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Contributions on microscopic approaches to solve the train timetabling problem and its integration to the performance of infrastructure maintenance activities

Abstract : Most railway systems experience a growing demand of railway capacity. To face this demand, either new infrastructure must be built or a more efficient exploitation of the existing one must be attained. Timetables play a determinant role in the efficient capacity exploitation. Most timetabling approaches in the literature are based on macroscopic representations of the infrastructure. This may lead to inefficient and in some cases, impractical solutions. Instead, microscopic approaches are based on more realistic modelling of the elements of the railway system. This guarantees the feasibility of the timetables while promoting an efficient capacity exploitation. However, due to their complexity, the scope of microscopic approaches is typically restricted to main stations. Despite the optimization of timetables, the performance of infrastructure maintenance may severely impact the trains' circulations in the network. Therefore, the timetable may have to be rearranged to ensure an efficient capacity exploitation. We present two main contributions in this thesis: first, a microscopic approach for timetable design. Second, a microscopic approach for timetable rearrangement to cope with maintenance. This is the first microscopic approach in the literature to tackle this problem while also considering specific aspects as temporary speed limitations. After a thorough experimental analysis, we demonstrate the validity of our approaches and their practical applicability in real life scenarios. In particular, we show that microscopic approaches can be used to tackle large areas of the infrastructure, including several stations.
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https://tel.archives-ouvertes.fr/tel-03461606
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Submitted on : Wednesday, December 1, 2021 - 2:02:08 PM
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Arenas_Pimentel_Luis_Diego.pdf
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  • HAL Id : tel-03461606, version 1

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Luis Diego Arenas Pimentel. Contributions on microscopic approaches to solve the train timetabling problem and its integration to the performance of infrastructure maintenance activities. Modeling and Simulation. Université de Valenciennes et du Hainaut-Cambresis, 2016. English. ⟨NNT : 2016VALE0034⟩. ⟨tel-03461606⟩

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