Demand-Oriented Rescheduling of Railway Traffic in Case of Delays

Graziana Cavone, Virginia Montaruli, Ton J.J. Van Den Boom, Mariagrazia Dotoli

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

The railway sector is currently experiencing a rapid evolution from fully manual towards automatic rail traffic control systems, due to the growth of transport demand and networks complexity. One of the main issues is to automatically and effectively reschedule the railway traffic in case of unexpected events, thus avoiding dramatic drops in the system performance. In the literature, the majority of contributions aims at automatically minimizing the train delays or optimizing the railway system performance (e.g., energy consumption). However, such strategies are not always able to ensure satisfaction of passengers that in many cases experience the side-effects of the rescheduling actions (e.g., cancellation of train runs, cancellation of coincidences, rerouting of trains, etc.). In this paper, we propose a demandoriented train rescheduling automatic technique that minimizes simultaneously the train delays and the discomfort perceived by passengers. When an unexpected event occurs, the rescheduling problem is set, based on the current state and nominal timetable of the system and its passengers flows. Hence, the problem is solved providing the control actions necessary to minimize both the delays and number of passengers subject to severe side-effects. The rescheduling is here formulated as a mixed integer linear programming problem, where the operating rules of the railway network are represented by linear equality and inequality constraints, while the objective is a linear function to be minimized. The possible control actions consist in re-timing the rail traffic and modifying the connections among lines. The proposed technique is preliminarily evaluated on a test case and a discussion is provided on the outcomes.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages1040-1045
ISBN (Electronic)978-1-7281-5953-9
DOIs
Publication statusPublished - 2020
Event7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 - Prague, Czech Republic
Duration: 29 Jun 20202 Jul 2020

Conference

Conference7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
CountryCzech Republic
CityPrague
Period29/06/202/07/20

Keywords

  • demand-oriented rescheduling
  • passengers satisfaction
  • Railways

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