2017
DOI: 10.1016/j.trb.2017.04.007
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Robust routing and timetabling in complex railway stations

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Cited by 40 publications
(25 citation statements)
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“…In addition to the comprehensive optimization of train operation scheme and timetable, some scholars analyzed the robustness of train operation scheme, and analyzed the influence of interval, stop, delay, and other factors on transport services, aiming at reducing the total travel time of passengers. For busy trunk lines with capacity close to saturation, Burggraeve and Vansteenwegen [19] constructed a train diagram optimization model considering the occupation of railway facilities and equipment (such as block section) by trains, and designed a solution algorithm. Taking Brussels road network as an example, the effectiveness of the model and algorithm was verified.…”
Section: Optimization Model Of Train Operation Scheme Considering the Shortest Passenger Travelmentioning
confidence: 99%
“…In addition to the comprehensive optimization of train operation scheme and timetable, some scholars analyzed the robustness of train operation scheme, and analyzed the influence of interval, stop, delay, and other factors on transport services, aiming at reducing the total travel time of passengers. For busy trunk lines with capacity close to saturation, Burggraeve and Vansteenwegen [19] constructed a train diagram optimization model considering the occupation of railway facilities and equipment (such as block section) by trains, and designed a solution algorithm. Taking Brussels road network as an example, the effectiveness of the model and algorithm was verified.…”
Section: Optimization Model Of Train Operation Scheme Considering the Shortest Passenger Travelmentioning
confidence: 99%
“…However, a train timetable that does not consider the routing choices is usually infeasible, as there may be conflicts among trains at stations. As concluded by Goverde and Hansen [22] and Burggraeve and Vansteenwegen [23], with the lack of train scheduling, the problem of train routing is limited by already scheduled arrival times and departure times. Thus, some researchers aimed to optimize train timetabling and routing interactively and iteratively.…”
Section: Reviews On Aperiodic Train Timetabling and Routingmentioning
confidence: 99%
“…Sparing and Goverde [7] assumed that the line pattern and routes of trains were fixed and generated feasible periodic train timetables with maximizing the stability of networks. Burggraeve and Vansteenwegen [23] first proposed an integer linear routing model to assign routes for each train and then designed a mixed integer linear timetabling model to assign a time for each train.…”
Section: Reviews On Periodic Train Timetabling and Routingmentioning
confidence: 99%
“…One of the methods to carry out robust optimization is the min-max approach, in which a feasible solution is calculated by optimizing the worst case given a set of scenarios. In [27], a min-max method is used to optimize the organized and balanced use of train station tracks while in [28] the authors optimized the passenger robustness, which aims to minimize the total travel time of the passengers when possible delays affect the network. In the framework of rail traffic, while the robustness reduces the deviation between the actual and the planned TS due to possible variations in operational conditions, the resilience reflects the possibilities to limit the secondary delay on the network by applying a train rescheduling model [29].…”
Section: Introductionmentioning
confidence: 99%