Adjusting a railway timetable in case of partial or complete blockades

Louwerse, Ilse; Huisman, Dennis

doi:10.1016/j.ejor.2013.12.020

Cited by 126 publications

(83 citation statements)

References 18 publications

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“…No literature references have been found that treat this subject. There is however some work done regarding the opposite problem of replanning a timetable or operative train plan due to track closures (complete or partial) or maintenance activities, for example in: Brucker et al (2005) (scheduling of single track traffic past a working site on a line section); Vansteenwegen et al (2015) (robust rescheduling due to planned track closures on large stations and junctions); and Louwerse and Huisman (2014) and Veelenturf et al (2015) (rescheduling of timetables, rolling stock and crew during major disruptions in operational dispatching). In all these cases the track closures / maintenance are given as fixed input.…”

Section: Reschedulingmentioning

confidence: 99%

Towards concurrent planning of railway maintenance and train services

Lidén¹

2016

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Efficiency in the public and freight transportation systems is of crucial importance for a society. Railways can offer high capacity and relatively low environmental impact, but require that several technical systems are tuned and operate well. Specifically there is a very tight interdependency between infrastructure and trains, which distinguishes railways from other transportation modes. Thus maintenance of all the subsystems is needed.Railways do also have some specific and complicating properties that influence maintenance and operations: Most activities need exclusive access to the infrastructure and -due to the geographic layout, safety requirements and partitioning of the subsystems -large portions of the network will be affected by each activity. Furthermore, several organisational units and resources are involved, ranging from governments and regulatory bodies, over operators and contractors to suppliers, technical experts and work forces. Thus railway maintenance is complicated to organize and consumes large budgets.This thesis treats the planning and scheduling problems that concern railway infrastructure maintenance and the coordination with train traffic. Mathematical methods and optimization are studied and used, with the aim of advancing the knowledge about models for solving such problems.The thesis contains three papers and presents: (1) A survey regarding railway maintenance activities, the major planning problems and the conducted research so far; (2) A model for quantitative comparison and assessment of competing capacity requests from train operations and maintenance; (3) An optimization model for integrated scheduling of both maintenance windows and train services.The work can be helpful for practitioners as well as researchers who want to take further steps in this interesting and challenging area. Based on the results that have been obtained, future research directions are presented that may lead towards practical use of concurrent planning of railway maintenance and train services.iii Acknowledgments This work has been performed in the research project "Efficient planning of railway infrastructure maintenance", funded by Trafikverket with the grant TRV 2013/55886 in 2013 and approved for continuation in 2016. For both these decisions I am most grateful.The project has been conducted within the national research program "Capacity in the Railway Traffic System" (kajt.org), which has given a good research environment with related projects and knowledge sharing at several seminars.The history and inception of my PhD studies does however go back more than 10 years -a story which feels appropriate to share at this time. Even though I briefly considered an offer to continue with research when graduating 1986, it was not until 2005 that I started to seriously consider the possibility. At that time I had the privilege of being invited by Jesper Hansen to the optimization development team for the RailFleet system and while working with such skilled people as Jesper, Mattias Grönkvist, Jens...

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Section: Reschedulingmentioning

confidence: 99%

Towards concurrent planning of railway maintenance and train services

Lidén¹

2016

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“…Given a disrupted infrastructure situation and a forecast of the characteristics of the disruption, the goal of the model was to design a disposition timetable, specifying which trains needed to still be in operation during the disruption and determining the timetable of these trains [19]. The definition and distinguishing characteristics between "disruption" and "disturbance" were demonstrated in a recent overview [20] in detail.…”

Section: Literature Reviewmentioning

confidence: 99%

A Robust Timetabling Model for a Metro Line with Passenger Activity Information

Wei

Yuan

2017

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Timetable design is crucial to the reliability of a metro service. In terms of the delays caused by passengers' boarding and alighting behaviors during rush hours, the planned timetable for a metro line with high-frequency service tends to be difficult to implement. General oversaturation events, rather than accidents or track damage, still have a significant impact on metro systems, so that trains are canceled and delayed. When the activity reality diverges from the real-time or historical information, it is imperative that dispatchers present a good solution during the planning stage in order to minimize the nuisance for passengers and reduce the crowding risk. This paper presents a robust timetabling model (RTM) for a metro line with passenger activity information, which takes into account congestion and buffer time adjustments. The main objective pursued by dispatchers in the model is the enhancement of punctuality while minimizing train delays by adjusting the buffer time. By explicitly taking the passenger activity information into account, a mixed integer nonlinear programming (MINLP) model was developed, and a genetic algorithm (GA) is proposed to solve the model. Finally, numerical experiments based on the Batong line of the Beijing Metro were carried out, the results of which verify the effectiveness and efficiency of our method.

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“…An Integer Programming (IP) model for a partial blockage and a complete blockage which aimed at maximizing the service level to the train passengers was proposed by [5]. The model determines which trains need to be cancelled and it presents the disposition timetable for the neighbouring trains.…”

Section: Several Model Approaches For Rescheduling Have Been Proposedmentioning

confidence: 99%

Priority based technique for rescheduling trains

Alwadood

Shuib

Hamid

2018

J. Fundam and Appl Sci.

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This paper presents a novel approach to solve a railway rescheduling problem using a Mixed Integer Goal Programming (MIGP) model rescheduling timetable based on train priorities whenever a service disruption occurs. The objectives are to minimize the total delay time of all trains in the rail line and maximize the service reliability. The experiments were done on Malaysian double track railway system and the model was solved using a heuristics approach great influence on the total delay time and service reliability. This r more advanced and practical model as it is able to produce the provisional timetable in short computing time and the solution generated satisfies all the restrictions posed by the rail operator. This paper presents a novel approach to solve a railway rescheduling problem using a Mixed KeywordsProgramming (MIGP) model. The model is developed to find a new rescheduling timetable based on train priorities whenever a service disruption occurs. The objectives are to minimize the total delay time of all trains in the rail line and maximize the service reliability. The experiments were done on Malaysian double track railway system and the model was solved using a heuristics approach. The result shows that train priority has a great influence on the total delay time and service reliability. This research has proposed a more advanced and practical model as it is able to produce the provisional timetable in short computing time and the solution generated satisfies all the restrictions posed by the rail rescheduling; mathematical modelling; service disruptions; priority.

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Adjusting a railway timetable in case of partial or complete blockades

Cited by 126 publications

References 18 publications

Towards concurrent planning of railway maintenance and train services

Towards concurrent planning of railway maintenance and train services

A Robust Timetabling Model for a Metro Line with Passenger Activity Information

Priority based technique for rescheduling trains

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