An Approximate Conflict Detection and Resolution Model for Moving-Block Signalling by Enhancing RECIFE-MILP

Nina D. Versluis, Paola Pellegrini, Egidio Quaglietta, Rob M.P. Goverde, Joaquin Rodriguez

Research output: Contribution to conferenceAbstractScientific

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Conflict detection and resolution models are being developed to support railway traffic management in taking optimised rescheduling decisions in case of disturbances. Existing models mostly concern fixed-block signalling systems, in which minimum train separation distances are determined based on a preset number of blocks representing worst-case braking distances. In a moving-block signalling system, minimum train separation is based on absolute braking distances and hence depends on train speed differently from how fixed-block conflict detection and resolution models. In this paper, we propose a conflict detection and resolution model that approximates moving-block operations. The model enhances the state-of-the-art fixed-block rescheduling model RECIFE-MILP. The enhancements include a reconsideration of the discretisation of the infrastructure, the introduction of a speed profile alternative and a redefinition of the blocking times. We verify the model by comparing the solutions of the moving-block version with the fixed-block version for a specific scenario. The results indicate that the moving-block model can propose different rescheduling decisions than the fixed-block model with a better delay recovery.
Original languageEnglish
Number of pages1
Publication statusPublished - 2023
EventRailBelgrade 2023: 10th International Conference on Railway Operations Modelling and Analysis - Faculty of Transport and Traffic Engineering University of Belgrade, Belgrade, Serbia
Duration: 25 Apr 202328 Apr 2023


ConferenceRailBelgrade 2023
Abbreviated titleICROMA
OtherRailBelgrade 2023 is the 10th International Conference on Railway Operations Modelling and Analysis (ICROMA). It will promote interdisciplinary discussions in the railway planning and operations research area by combining the expertise of academics and professionals. RailBelgrade 2023 will give researchers, consultants, and industrial practitioners the opportunity to meet, present their latest research, exchange know-how, and discuss current developments and applications. Leading railway scientists from different disciplines and professionals from the railway industry will deliver keynote speeches.
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Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Railway traffi c management
  • Confl ict detection and resolution
  • Rescheduling
  • Movingblock signalling
  • Mixed integer linear programming


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