Passenger Flow-Oriented Train Disposition

Berger, Annabell; Blaar, Christian; Gebhardt, Andreas; Müller‐Hannemann, Matthias; Schnee, Mathias

doi:10.1007/978-3-642-23719-5_20

Cited by 12 publications

(12 citation statements)

References 9 publications

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“…The approach here is to optimize the travellers' delay assuming the travel chains are known. This approach is also used in many other publications as in Berger et al (2011), Kurby (2012) or Schöbel (2001). Schöbel (2011) uses the term delay management to describe the problem solution of a waiting decision in connection dispatching using Integer Programming.…”

Section: Related Workmentioning

confidence: 98%

Conflict resolution measures for connection dispatching

Stelzer

Oetting

2015

Journal of Rail Transport Planning & Management

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Section: Related Workmentioning

confidence: 98%

Conflict resolution measures for connection dispatching

Stelzer

Oetting

2015

Journal of Rail Transport Planning & Management

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“…Extending the passenger-oriented delay management as introduced by Berger et al (2011), we present PANDA, a webtool supporting train dispatchers with real-time information about the passenger flow and the impact of waiting decisions. PANDA's key benefits for dispatchers are:…”

Section: Contributionmentioning

confidence: 99%

“…We distinguish between driving arcs, modelling the driving of a specific train until its next stop, waiting arcs, modelling a train standing on a platform, and transfer arcs, modelling the possibility for passengers to switch between trains. For a more extensive description of the eventactivity network see Berger et al (2011) or Lemnian et al (2014). In our model, the passenger flow is represented by directed paths in N .…”

Section: Passenger-aware Dispatchingmentioning

confidence: 99%

PANDA: a software tool for improved train dispatching with focus on passenger flows

Rückert

Lemnian

Blendinger³

et al. 2016

Public Transp

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We introduce the decision support tool PANDA (Passenger Aware Novel Dispatching Assistance). Our web-based tool is designed to provide train dispatchers with detailed real-time information about the current passenger flow and the multidimensional impact of waiting decisions in case of train delays. After presenting the algorithmic background and PANDA's main features, we show how it can be utilized in a typical use case scenario for train dispatchers. Besides its practical value for train dispatchers, the framework can be used to systematically study scientific questions. Exemplarily, we use our software to experimentally analyse the influence of waiting decisions on realistic passenger flows of Deutsche Bahn. In a first experiment, we evaluate PANDA's potential benefit for passengers. Our findings indicate that a remarkable reduction in total delay might be possible in comparison to current practice. In two additional experiments, we investigate the timing aspect of waiting decisions. Our observations suggest that the timing of waiting decisions is of crucial importance and that a carefully implemented early rerouting strategy has a significant potential to reduce resulting delays of passengers.

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“…All the tested instances were based on real data from one of the Dutch railway operators. Berger et al (2011a) developed an optimization tool for solving the train disposition problem, concerned with defining whether a train should wait for an incoming delay train or not. The problem is represented using an event-graph and formulated as a variant of the uncapacitated multi-commodity flow.…”

Section: Train Rescheduling Modelsmentioning

confidence: 99%

“…Very few papers include or put emphasis on passengers' wishes and objectives in their formulations. Nielsen (2008Nielsen ( , 2011 and Berger et al (2011a) in the TRP, and Liu et al (2008) and Petersen et al (2012) in the ARP are recent developments in this direction. The problem is quite complex and several aspects such as passengers' behavior toward serious disruptions was not properly addressed.…”

Section: Implications For Future Researchmentioning

confidence: 99%

Review of real-time vehicle schedule recovery methods in transportation services

Visentini

Borenstein

et al. 2013

J Sched

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This paper presents a comprehensive review on methods for real-time schedule recovery in transportation services. The survey concentrates on published research on recovery of planned schedules in the occurrence of one or several severe disruptions such as vehicle breakdowns, accidents, and delays. Only vehicle assignment and rescheduling are reviewed; crew scheduling and passenger logistics problems during disruptions are not. Real-time vehicle schedule recovery problems (RTVSRP) are classified into three classes: vehicle rescheduling, for road-based services, trainbased rescheduling, and airline schedule recovery problems. For each class, a classification of the models is presented based on problem formulations and solution strategies. The paper concludes that RTVSRP is a challenging problem that requires quick and good quality solutions to very difficult and complex situations, involving several different contexts, restrictions, and objectives. The paper also identifies research gaps to be investigated in the future, stimulating research in this area.

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Passenger Flow-Oriented Train Disposition

Cited by 12 publications

References 9 publications

Conflict resolution measures for connection dispatching

Conflict resolution measures for connection dispatching

PANDA: a software tool for improved train dispatching with focus on passenger flows

Review of real-time vehicle schedule recovery methods in transportation services

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