Nowadays the railway industry is beginning to give serious consideration to using intelligent traffic management systems (TMSs) in order to improve railway performance regarding train and passenger delays and robust use of capacity. The TMS is responsible for handling railway traffic once a disturbance happens. A fundamental input parameter of a TMS is the train positions, to be used for traffic re-planning purposes. Inaccuracy in the train positioning data could significantly influence the effectiveness of a TMS. In this study, the authors developed a framework to evaluate how inaccuracies in the train position reporting may affect the TMS performance. This is achieved by assessing the impact of adding inaccuracies to the train position reported to a simulated TMS as it handles operational disturbances in real-time. The performance of the TMS is analysed by considering variability in overall delay outcomes after re-planning based on using accurate/inaccurate positional data. They demonstrate the usefulness of their framework in determining the positional accuracy required for the effective application of a basic rescheduling system via an example on a bottleneck area. Results show how the positioning inaccuracies can affect TMS and thus the overall delay.
Impact of train positioning inaccuracies on railway traffic management systems: framework development and impacts on TMS functions
IET Intelligent Transport Systems ; 14 , 6 ; 534-544
2020-05-04
11 pages
Article (Journal)
Electronic Resource
English
railway communication , railway performance , railway industry , TMS functions , position control , railways , TMS performance , simulated TMS , passenger delays , train positioning inaccuracies , basic rescheduling system , inaccuracy , fundamental input parameter , intelligent traffic management systems , railway traffic management systems , traffic engineering computing , traffic re-planning purposes , positional accuracy , framework development , train positioning data , train position reporting , rail traffic
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