Robustness Improvements in a Train Timetable with Travel Time Dependent Minimum Headways
2015 (English)Conference paper (Other academic)
In a railway network with dense traffic, trains’ scheduled arrival and departure times arehighly dependent on each other and even a small delay easily propagates to subsequenttrains using the same infrastructure resources. In the current paper a given timetable is comparedto a modified timetable, where the assigned minimum time slot in the traffic for aservice is linearly increasing with the service’s travel time. The underlying assumption isthat trains lose precision as they travel longer and catching a fixed-size time slot is easier atthe beginning of the journey. Real world observations confirm this assumption as well. Theaim of this study is to verify the improvement in the robustness of those timetables that aremodified with respect to the idea of travel time dependent reserved time slots for the arrivaltimes of trains and to compare the results with the initial timetables. Numerical experimentsare conducted on a selected double track segment of the Swedish Southern mainline. Fourtimetable case studies are considered for the experiments: off-peak hours and peak hoursin 2011 and 2014, respectively. Each timetable is tested for various disturbance scenarios.Several performance measures are used to evaluate delay propagation in the timetables, includingdeviations from the initial timetable, total delays, total number of delayed trains atdestinations, number of punctual trains with 5 minutes arrival delay tolerance at destinationsand number of violations in trains’ overtaking orders. Results show that the modifiedtimetables outperform the initial ones for small disturbances.
Place, publisher, year, edition, pages
Robustness, Railway Timetable, Ex-post measures, Delay propagation, Performance measures
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:liu:diva-117042OAI: oai:DiVA.org:liu-117042DiVA: diva2:803444
6th International Conference on Railway Operations Modelling and Analysis - RailTokyo2015, Tokyo, March 23-26, 2015