Highlights“Hybrid” approach expands the rescheduling capabilities of current simulation tools.Model can provide a conflict-free and compressed timetable out of initial schedule.Works on single/multiple-track corridors with directional/bi-directional operations.Model capabilities were successfully tested over several rescheduling scenarios.Inputs obtained from model result validated by a commercial rail simulation package.
AbstractFrom a capacity perspective, efficient utilization of a railway corridor has two main objectives; avoidance of schedule conflicts, and finding a proper balance between capacity utilization and level of service (LOS). There are several timetable tools and commercial rail simulation packages available to assist in reaching these objectives, but few of them offer both automatic train conflict resolution and automatic timetable management features for the different types of corridor configurations. This research presents a new rescheduling model to address some of the current limitations. The multi-objective linear programming (LP) model is called “Hybrid Optimization of Train Schedules” (HOTS), and it works together with commercial rail simulation tools to improve capacity utilization or LOS metrics. The HOTS model uses both conflict resolution and timetable compression techniques and is applicable to single-, double-, and multiple-track corridors (N-track networks), using both directional and bi-directional operations. This paper presents the approach, formulation and data requirements for the HOTS model. Single and multi-track case studies test and demonstrate the model’s train conflict resolution and timetable compression capabilities, and the model’s results are validated by using RailSys simulation package. The HOTS model performs well in each tested scenario, providing comparable results (either improved or similar) to the commercial packages.
Development of hybrid optimization of train schedules model for N-track rail corridors
Tramsportation Research, Part C: Emerging Technologies ; 67 ; 169-192
2016-02-15
24 pages
Article (Journal)
Electronic Resource
English
Development of hybrid optimization of train schedules model for N-track rail corridors
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