A solvable queueing network model for railway networks and its validation and applications for the Netherlands

Huisman, Tijs; Boucherie, Richard J.; Dijk, N.M. van

doi:10.1016/s0377-2217(01)00269-7

Cited by 63 publications

(34 citation statements)

References 3 publications

(10 reference statements)

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“…Huisman et al [3] developed a queuing network model to compute the long-term performance of rail networks. To achieve this, a decomposition of the network and its detailed components was necessary.…”

Section: Queuing Modelsmentioning

confidence: 99%

“…Yuan and Hansen [4] and Meester and Muns [5] have both emphasised the lack of queuing models to consider timetables, since they are reliant on probability distributions for inter-arrival times. Moreover, fixed arrival and departure times were also not considered, and the impact of speed variations was [3] instead suggested a way to capture speed variances among different train types by ignoring block (signalling) sections in a section between stations. However, the model does include one block section before and after each station, to ensure that trains do not arrive in bulk at stations.…”

Section: Queuing Modelsmentioning

confidence: 99%

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Mathematical and Simulation Tecniques for Modelling Urban Train Networks

Wilson

Fourie

Delmistro³

2016

SAJIE

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Railway systems can pose complex problems for the scheduling and operation of trains. A passenger rail service's first priority is to provide a punctual and safe transport service to its customers. But doing so is a major challenge for rail network operators, as disruptions are inevitable, especially in densely-populated networks. Disruptions can be caused not only by infrastructure or rolling stock breakdowns, but also by maintenance activities, new rolling stock, or new train services. Managing these disruptions and predicting the extent of its effects is a crucial part of rail network operation. Mathematical models and simulation can be applied to these problems. This paper will review the literature concerning the modelling of train networks. OPSOMMINGSpoorwegstelsels skep soms komplekse probleme met betrekking tot die skedulering en die bedryf van treine. 'n Passasiers-spoordiens se eerste prioriteit is om stiptelike en veilige vervoer te verskaf aan sy gebruikers. Om 'n stiptelike en betroubare diens te lewer is 'n groot uitdaging vir netwerk operateurs, aangesien trein dienste maklik ontwrig word in digbevolkte netwerke. Ontwrigtinge word nie net deur infrastruktuur en rollende materiaal falings veroorsaak nie, maar ook deur infrastruktuur onderhoud, nuwe rollende materiaal, en nuwe treindienste wat ingestel kan word. Die bestuur van dié ontwrigtinge en die akkurate vooruitskatting van die effek op die res van die netwerk is 'n kritiese komponent van die bedryf van 'n trein netwerk. Wiskundige modelle en simulasie metodes kan toegepas word op dié tipe probleme. Hierdie artikel bespreek die literatuur wat oor die modellering van trein netwerke handel. INTRODUCTIONRailway network companies often need to model and simulate the operation of their trains. This need usually arises with the expansion or maintenance of infrastructure, or the addition of new rolling stock and services. Infrastructure expansion entails adding new links, stations, or additional lines on a specific route. Furthermore, perway, electrical, and signals maintenance all contributes to train operations being disrupted to some extent. And adding train services or new rolling stock requires major operations planning and rescheduling. Forecasting the effect on the operation of the network before the implementation of such changes is a crucial component of planning. Bottlenecks, line capacities, demand satisfaction, and delay propagations are all areas that need to be identified and calculated before large capital amounts are spent. This can be done through the use of mathematical models and simulation. The optimisation of existing operations can also be done using these tools. OBJECTIVEThe objective of this paper is to review the literature on the different modelling techniques that are used to describe the operation of train networks. This will lay the groundwork for developing

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Section: Queuing Modelsmentioning

confidence: 99%

Section: Queuing Modelsmentioning

confidence: 99%

Mathematical and Simulation Tecniques for Modelling Urban Train Networks

Wilson

Fourie

Delmistro³

2016

SAJIE

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“…Huisman, Boucherie and Van Dijk developed a stochastic analytical waiting line model for analyzing delays at a double track section (Huisman and Boucherie, 2001;Huisman et al, 2002). Their models are based on train frequencies and running times only, not on detailed timetables with arrival and departure times.…”

Section: Literature Overviewmentioning

confidence: 99%

Reliability and heterogeneity of railway services

Vromans¹,

Dekker

Kroon

2006

European Journal of Operational Research

130

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Reliability is one of the key factors in transportation, both for passengers and for cargo. This paper examines reliability in public railway systems. Reliability of railway services is a complex matter, since there are many causes for disruptions and at least as many causes for delays to spread around in space and time. One way to increase the reliability is to reduce the propagation of delays due to the interdependencies between trains. In this paper we attempt to decrease these interdependencies by reducing the running time differences per track section, i.e. by creating more homogeneous timetables. Because of the complexity of railway systems, we use network wide simulation for the analysis of the alternative timetables. We report on both theoretical and practical cases. Besides a comparison of different timetables, also general timetabling principles are deduced. 5001-6182 Business AbstractReliability is one of the key factors in transportation, both for passengers and for cargo. This paper examines reliability in public railway systems. Reliability of railway services is a complex matter, since there are many causes for disruptions and at least as many causes for delays to spread around in space and time.One way to increase the reliability is to reduce the propagation of delays due to the interdependencies between trains. In this paper we attempt to decrease these interdependencies by reducing the running time differences per track section, i.e. by creating more homogeneous timetables.Because of the complexity of railway systems, we use network wide simulation for the analysis of the alternative timetables. We report on both theoretical and practical cases. Besides a comparison of different timetables, also general timetabling principles are deduced.

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“…Indeed, several papers focus also on the issue of capacity at network level; for example [16] suggest an analytical approach while [17] a queuing model for capacity assessment of a railway system.…”

Section: Introductionmentioning

confidence: 99%

Capacity analysis of suburban rail networks

Rotoli

Malavasi

Ricci

et al. 2016

WIT Transactions on the Built Environment

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As is well known, capacity evaluation and the identification of bottlenecks on rail networks are complex issues depending upon several technical elements. This is even more perceptible in metropolitan areas where different services (freight, long distance, metro/regional, etc.) are operated using the same limited infrastructures; as a consequence, these facilities may represent bottlenecks of the rail system since they are often highly utilized and congested. This paper tries to explore the issue of capacity evaluation of complex rail networks, proposing synthetic indicators and analyses for feasibility studies or strategic planning. The presented methodology suggests taking into account the main differences in infrastructure characteristics (e.g. single or double lines, signalling systems, terminus or passing stations, etc.) and rail services (e.g. diverse rolling stock, various frequencies, average distances and number of stops, etc.) in order to propose a general approach applicable for capacity analysis of a network as a whole, hence evaluating the utilization rate and the congestion on both lines and stations. To better explore and validate the methodology, an application to a line of the Naples' suburban network is presented. The results confirm the applicability and effectiveness of the proposed approach; the outcomes indicate the capacity utilization rate of the considered facilities, pointing out likely bottlenecks and possible actions to improve the system efficiency.

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A solvable queueing network model for railway networks and its validation and applications for the Netherlands

Cited by 63 publications

References 3 publications

Mathematical and Simulation Tecniques for Modelling Urban Train Networks

Mathematical and Simulation Tecniques for Modelling Urban Train Networks

Reliability and heterogeneity of railway services

Capacity analysis of suburban rail networks

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