Towards self-organizing railway traffic management: concept and framework - Université Gustave Eiffel Accéder directement au contenu
Article Dans Une Revue Journal of Rail Transport Planning & Management Année : 2024

Towards self-organizing railway traffic management: concept and framework

Résumé

Railway traffic management requires a timely and accurate redefinition of routes and schedules in response to detected perturbations of the original timetable. To date, most of the (automated) solutions to this problem require a central authority to make decisions for all the trains in a given control area. An appealing alternative is to consider trains as intelligent agents able to self-organize and determine the best traffic management strategy. This could lead to more scalable and resilient approaches, that can also take into account the real-time mobility demand. In this paper, we formalize the concept of railway traffic self-organization and we present an original design that enables its real-world deployment. We detail the principles at the basis of the sub-processes brought forth by the trains in a decentralized way, explaining their sequence and interaction. Moreover, we propose a preliminary proof of concept based on a realistic setting representing traffic in a French control area. The results allow conjecturing that self-organizing railway traffic management may be a viable option, and foster further research in this direction.

Dates et versions

hal-04402462 , version 1 (18-01-2024)

Identifiants

Citer

Leo D’amato, Federico Naldini, Valentina Tibaldo, Vito Trianni, Paola Pellegrini. Towards self-organizing railway traffic management: concept and framework. Journal of Rail Transport Planning & Management, 2024, 29, pp.100427. ⟨10.1016/j.jrtpm.2023.100427⟩. ⟨hal-04402462⟩
17 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More