Abstract
Nowadays a considerable percentage of trains mature delays due to nodes and stations congestion. They are normally a combination of effects of routes conflicts in stations on lines and propagation in stations of delays suffered along the lines. Station areas represent the bottlenecks of railway operations, due to many incompatible train routes crossing each other that lead to many potential conflicts between trains. Goal of the research is to compare some literature methods to study nodes capacity, by application of if-then processes to analyze stability or variability of results obtained by various timetabling to occupy the minimum capacity and increase the number of trains. It is a typical critical circuit, which can be seen as the bottleneck of the timetable to prevent conflicts and delays. In order to tackle the purpose, the paper introduces synthetically the methods and applies them systematically to a complex network, including single and double track lines and various typologies of stations. The further development includes the comparative applications of the analytical methods, with respect to variation of input data, and of a simulation approach.
Highlights
Capacity at station is critical and the present paper highlights these aspects in a specific analysis on station capacity fluctuations
Some methods are focused on capacity analysis for railway stations, node in railway network commonly tending to act as bottlenecks limiting the capacity of the entire network
The occupation and interdiction times are variable according to the extension and location of the common sections of incompatible routes and the temporal succession of arrivals and departures depending on the station timetabling
Summary
The rail transport customers, both passengers and freight forwarders, want to arrive on time at their destinations. J., 2000), the buffer time intrinsic by timetabling in Muller method are going to be cross checked with the Potthoff method to get comparative values These differences may lead to different capacity consumptions for stations, due to the localization of bottlenecks, which may lead to incorrect allocation of resources as well as to a reduced level of service on the railway network. In this context, the analysis and the identification of these bottlenecks will help to increase the capacity, where necessary, and to improve the corresponding passengers and freight services. The present paper introduces an approach to investigate the relationships between the node capacity variation studies under disturbances and hints for the potential synchronization and generalization of this method for a complex network
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