Title :
A review of online dynamic models and algorithms for railway traffic control
Author :
Corman, Francesco ; Lingyun Meng
Author_Institution :
Transp. Eng. & Logistics Sect., Delft Univ. of Technol., Delft, Netherlands
fDate :
Aug. 30 2013-Sept. 1 2013
Abstract :
We present a survey of the recent approaches on railway transportation problems, that exhibit dynamic and stochastic (or, at least, not completely deterministic) aspects. In fact, while deterministic and static (or single-shot) systems have reached a wide degree of dissemination, much is still to be done with regard to the online nature of the railway problems; and how to best take into account for uncertainty. We review approaches for four dynamic interrelated problems such as train path rescheduling (called also dispatching, rescheduling, disposition), crew rescheduling, rolling stock rescheduling, and the issue of determining updated passenger connection plans (delay management). Open challenges for the research are outlined.
Keywords :
railway rolling stock; railways; scheduling; crew rescheduling; deterministic systems; interrelated problems; online dynamic models; railway traffic control; railway transportation problems; rolling stock rescheduling; static systems; train path rescheduling; updated passenger connection plans; Delays; Dispatching; Linear programming; Optimization; Rail transportation; Vehicle dynamics; Vehicles; crew scheduling; delay management; dispatching; model predictive control; rolling stock scheduling; train disposition;
Conference_Titel :
Intelligent Rail Transportation (ICIRT), 2013 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5278-9
DOI :
10.1109/ICIRT.2013.6696281