Article ID Journal Published Year Pages File Type
4968583 Transportation Research Part C: Emerging Technologies 2017 24 Pages PDF
Abstract

•A framework for assessment of railway capacity consumption is developed.•A predefined timetable is not required as different train sequences are generated.•Evaluates buffer times to estimate if capacity utilisation is robust against delays.•Ideal for strategic planning, especially when evaluating infrastructure scenarios.•Framework implemented using a longest path approach and a stochastic simulation.

In this paper, we develop a new framework for strategic planning purposes to calculate railway infrastructure occupation and capacity consumption in networks, independent of a timetable. Furthermore, a model implementing the framework is presented. In this model different train sequences are generated and assessed to obtain timetable independence. A stochastic simulation of delays is used to obtain the capacity consumption. The model is tested on a case network where four different infrastructure scenarios are considered. Both infrastructure occupation and capacity consumption results are obtained efficiently with little input. The case illustrates the model's ability to quantify the capacity gain from infrastructure scenario to infrastructure scenario which can be used to increase the number of trains or improve the robustness of the system.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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