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. In order to prevent the conflicts and minimize delays, desirable timetables should be robust; accordingly, an accurate estimation during timetable design and implementation is necessary. Goal of the research is to compare analytical and simulation methods for the assessment of railway lines and nodes capacity to pinpoint their mutual effects, analyze stability or variability of the obtained results achieved by traditional and innovative approaches. The work is included in a research framework with the final goal of optimizing the use of railway network capacity.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.
Highlights
Atieh Kianinejadoshahaa, *Stefano Ricciaa aaDDeeppaarrttmmeenntt ooff CCiivviill, BBuuiillddiinngg aanndd EEnnvviirroonnmmeennttaall EEnnggiinneeeerriinngg, SSaappiieennzzaa UUnniivveerrssiittyy ooff RRoommee, IIttaallyy
The work is included in a research framework with the final goal of optimizing the use of railway network capacity
That is the case because the intervals between consecutive trains are smaller for a higher traffic volumes, which makes it more likely that one train’s delay impacts others trains’ punctuality as well (Haehn R., Ábrahám E., Nießen N., 2020)
Summary
The evolution of research and the continuous increase of interest in railway capacity offer an extraordinarily rich bibliography of existing methodologies developed since 1950s (Kontaxi E., Ricci S., 2011) until current times (Kianinejadoshah A., Ricci S., 2020)
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