Disruption Management in Passenger Railway Transportation

Jespersen-Groth, J.; Potthoff, Daniel; Clausen, Jens; Huisman, Dennis; Kroon, Leo; Maróti, Gábor; Nielsen, Morten

doi:10.1007/978-3-642-05465-5_18

Cited by 113 publications

(69 citation statements)

References 28 publications

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“…Traditionally, the focus of action in such cases is to re-plan in order to restore the transport system according to the original plan and, e.g., get the stranded travelers to their destinations [6]. See [7] for an overview of the existing literature and discussions on this topic. In general, real-time data can improve the re-planning decisions through enabling the planners to base their decisions on more data and/or more accurate data.…”

Section: Operationsmentioning

confidence: 99%

The Fourth Wave of Digitalization and Public Transport: Opportunities and Challenges

et al. 2016

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Abstract:We investigate the opportunities and challenges of the forth wave of digitalization, also referred to as the Internet of Things (IoT), with respect to public transport and how it can support sustainable development of society. Environmental, economical, and social perspectives are considered through analysis of the existing literature and explorative studies. We conclude that there are great opportunities for both transport operators and planners, as well as for the travelers. We describe and analyze a number of concrete opportunities for each of these actors. However, in order to realize these opportunities, there are also a number of challenges that needs to be addressed. There are both technical challenges, such as data collection issues, interoperability, scalability and information security, and non-technical challenges such as business models, usability, privacy issues, and deployment.

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Section: Operationsmentioning

confidence: 99%

The Fourth Wave of Digitalization and Public Transport: Opportunities and Challenges

et al. 2016

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“…This, as well as the limited time available to calculate a solution, adds to the complexity of the problem. Jespersen-Groth et al (2009) describe the general disruption management process of passenger railway transportation companies in Europe. The three main subproblems of the disruption process (timetable adjustment, rolling stock rescheduling and crew rescheduling) are discussed in detail.…”

Section: Introductionmentioning

confidence: 99%

Adjusting a railway timetable in case of partial or complete blockades

Louwerse

Huisman

2014

European Journal of Operational Research

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126

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Unexpected events, such as accidents or track damages, can have a significant impact on the railway system so that trains need to be canceled and delayed. In case of a disruption it is important that dispatchers quickly present a good solution in order to minimize the nuisance for the passengers. In this paper, we focus on adjusting the timetable of a passenger railway operator in case of major disruptions. Both a partial and a complete blockade of a railway line are considered. Given a disrupted infrastructure situation and a forecast of the characteristics of the disruption, our goal is to determine a disposition timetable, specifying which trains will still be operated during the disruption and determining the timetable of these trains. Without explicitly taking the rolling stock rescheduling problem into account, we develop our models such that the probability that feasible solutions to this problem exists, is high. The main objective is to maximize the service level offered to the passengers. We present integer programming formulations and test our models using instances from Netherlands Railways.

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“…Due to the intensity of train traffic (short follow-on times) but also because train crew are not linked to fixed routes, train traffic and crew deployment are relatively susceptible to disruptions (Jespersen-Groth et al [2]). In the event of major disruptions (intersections or track sections becoming blocked), the result can be that during the execution dozens or even more than one hundred work lines for train crew members have to be revised.…”

Section: Management Of the Train Servicementioning

confidence: 99%

Automatic location-finding of train crew using GSM technology

Makkinga¹,

Sturm²

2010

WIT Transactions on the Built Environment

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Passenger carrier NSR (Dutch Railways Passengers) on a daily basis deploys approximately 1000 drivers and 1300 guards to run approximately 5000 trains. Normally speaking, the current deployment is in line with the crew schedule as laid down in the transport management system. This schedule is generally immediately (manually) updated to suit the situation. In the event of major disruptions, however, problems may occur as a result of which the disruption management organisation loses sight of the current personnel deployment. As a consequence, a situation can arise whereby the crew schedule no longer reliably reflects the current situation. This can lead to errors in the crew rescheduling and possibly to the cancellation of trains because crew have not been organised on time. For NSR this was an undesirable situation and the reason to launch the investigation into how this bottleneck could be solved. A research and development project was undertaken by NSR and Movares with the aim of developing a method for the automated detection of train crew on trains and the registration of deviations in respect of the crew schedule. During this project, a system was developed that -on the basis of GSM technology in combination with the monitoring of trains via the infrastructure -automatically detects which train crew members are located in which train. In the spring of 2009, a very successful test was implemented using the system.

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Disruption Management in Passenger Railway Transportation

Cited by 113 publications

References 28 publications

The Fourth Wave of Digitalization and Public Transport: Opportunities and Challenges

The Fourth Wave of Digitalization and Public Transport: Opportunities and Challenges

Adjusting a railway timetable in case of partial or complete blockades

Automatic location-finding of train crew using GSM technology

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