Path anticipation and prioritised conflict-free train rescheduling on a linear network

Nitin Kumar Sakhala, Ajinkya Tanksale and J.K. Jha

International Journal of Operational Research, 2019, vol. 36, issue 4, 496-517

Abstract: Rail schedule may get disturbed due to unforeseen set of events, which requires a quick response to plan a new feasible schedule under the given set of complicating constraints, and resolving the potential conflicts among trains. This gives rise to the classical train timetable rescheduling (TTR) problem, which is combinatorial in nature and computationally challenging. In this work, we present the macroscopic train orientation of TTR problem with explicit consideration of safety characteristics. In case of disturbances, path anticipation criteria are used to generate a feasible and conflict-free schedule. A novel algorithm based on inhibitor net to prioritising trains and conflict-resolution is presented. We demonstrate the application of a decision support system with the controller's intervention for the considered problem. Finally, the proposed solution approach is tested for its efficiency on several test instances generated for a real-life case of a single-track corridor in the Indian rail network.

Keywords: train rescheduling; disturbance handling; conflict-resolution; Petri net. (search for similar items in EconPapers)
Date: 2019
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