Capacity factors of a mixed speed railway network

Harrod, Steven

doi:10.1016/j.tre.2009.03.004

Cited by 73 publications

(39 citation statements)

References 9 publications

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“…Kozan and Burdett (2005), Vromans et al (2006) and Harrod (2009) have shown that SRT has a significant impact on capacity analysis, for instance, a slight change in SRT can have remarkable effect on the amount of capacity.…”

Section: Literature Reviewmentioning

confidence: 99%

A Case Study of the Iranian National Railway and Its Absolute Capacity Expansion Using Analytical Models

2015

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Abstract. Identifying railway capacity is an important task that can identify 'in principal' whether the network can handle an intended traffic flow, and whether there is any free capacity left for additional train services. Capacity determination techniques can also be used to identify how best to improve an existing network, and at least cost. In this article, an optimization approach has been applied to a case study of the Iran national railway, in order to identify its current capacity and to optimally expand it given a variety of technical conditions. This railway is very important in Iran and will be upgraded extensively in the coming years. Hence, the conclusions in this article may help in that endeavor. A sensitivity analysis is recommended to evaluate a wider range of possible scenarios. Hence, more useful lower and upper bounds can be provided for the performance of the system.

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Section: Literature Reviewmentioning

confidence: 99%

A Case Study of the Iranian National Railway and Its Absolute Capacity Expansion Using Analytical Models

2015

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“…The results also suggest certain operating strategies that may reduce the delays caused by train type heterogeneity. Harrod (2009) presents the utility maximizing problem. This problem is a multicommodity flow problem consisting of a linear network model with side constraints enforcing the operational interaction of separate trains.…”

Section: Models For Evaluation Of Impact Of Train Types On Rail Line mentioning

confidence: 99%

“…The utility in this study is defined as a linear function of the number of completed train paths, and additional network time consumed beyond the plan time horizon. Harrod (2009) evaluates the fiftyfour combinations of track network and speed differential. Landex et al (2006) analyse the Dutch rail system, but focus on the importance of line segment length in determining capacity with heterogeneous traffic.…”

Section: Models For Evaluation Of Impact Of Train Types On Rail Line mentioning

confidence: 99%

An Integer Programming Model for Analysing Impacts of Different Train Types on Railway Line Capacity

2014

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Abstract. The evaluation of railway line capacity is an important problem, which effects majority of problems in rail transportation planning. The railway capacity is dependent on infrastructure, traffic, and operating parameters. A key factor affecting railway line capacity is the impact of different train types. As the combination of different train types increases, more interference is generated. In this paper, for evaluation of train type interactions on railway line capacity, an integer-programming model for both line and line section is presented. The problem is formulated as a multicommodity network design model on a space-discrete time network. The railway capacity is calculated using data typically available to planners. The inputs of the model are the characteristic of each train type and railway line attributes. The model determines railway capacity based on train type mixes. In addition, this model considers impact of train types on capacity and waiting time. In order to show the features of the model, a case study is implemented in Iran Railways. The capacity tends to increase non-linearly with small incremental changes in parameters. The mixture of train types reduces the railway line capacity. The proposed model can help railway managers for long-term planning. Keywords: railway transportation, railway capacity, railway line, line section, siding track, discrete-time multicommodity network flow model, integer programming.

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“…For further evaluation it is recommended to analyse the possibility to schedule additional train paths for different kinds of services. It is also stated that the number of trains, average speed, heterogeneity and stability have to be in balance to reach a wellfunctioning system [1,6].…”

Section: Definition Of Track Capacitymentioning

confidence: 99%