Handling uncertainty in train timetable rescheduling: A review of the literature and future research directions

External and internal factors can cause disturbances or disruptions in daily train operations, leading to deviations from official timetables and passenger delays. As a result, efficient train timetable rescheduling (TTR) methods are necessary to restore disrupted train services. Although TTR has been a popular research topic in recent years,...

Dynamic railway timetable rescheduling for multiple connected disruptions

Unexpected disruptions occur in the railways on a daily basis, which are typically handled manually by experienced traffic controllers with the support of predefined contingency plans. When several disruptions occur simultaneously, it is rather hard for traffic controllers to make rescheduling decisions, because (1) the predefined contingency...

Integrated timetable rescheduling and passenger reassignment during railway disruptions

During railway disruptions, most passengers may not be able to find preferred alternative train services due to the current way of handling disruptions that does not take passenger responses into account. To offer better alternatives to passengers, this paper proposes a novel passenger-oriented timetable rescheduling model, which integrates...

Passenger-Oriented Timetable Rescheduling in Railway Disruption Management

Railway systems are vulnerable to unexpected disruptions, which usually result in track blockages for a few hours. In practice, disruptions are handled manually and the resulting impact to passengers is rarely considered. To enable disruption management more efficiently, operator-friendly and passenger-friendly, this thesis develops mathematical...

Railway timetable rescheduling for multiple simultaneous disruptions

Unexpected disruptions occur in the railways on a daily basis, which are<br/>typically handled manually by experienced trac controllers with the support of<br/>predened contingency plans. When several disruptions occur simultaneously, it is<br/>rather hard for trac controllers to make trac management decisions, because 1)<br/>the predened...