Reinforcement Learning in Railway Timetable Rescheduling

Real-time railway traffic management is important for the daily operations of railway systems. It predicts and resolves operational conflicts caused by events like excessive passenger boardings/alightings. Traditional optimization methods for this problem are restricted by the size of the problem instances. Therefore, this paper proposes a...

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...