Redesign of the calculation kernel, new calculation mode using discrete modelling of distributions.International Railway Symposium Aachen: Kombinierte betriebliche und verkehrliche Bewertung von Bahn-Angeboten (german) of the 5th International Seminar on Railway Operations Modelling and Analysis, Copenhagen,ġ3.- of the International Association of Railway Operations Research (IAROR):Ĭombining Quality of Service and Operations for Timetable Evaluation: " Kombinierte betriebliche und verkehrliche Bewertung von Bahn-Angeboten" (german)Įisenbahntechnische Rundschau (ETR), (2018) Nr. Stochastic modelling of delay propagation in large networks You need JavaScript enabled to view it.įor literature on some fundamentals on OnTime see the Journal of Rail Transport Planning & Management: This email address is being protected from spambots. It is based on proven and tested methods developed at the Institute of transport science (VIA) of RWTH Aachen University.Īpart from SBB it is used by Infrabel (Belgium), DB Netz (Germany), ProRail (NL), Trenitalia (IT), by the Institute for Transport Planning and Systems of the ETH Zurich, the Institute of Transport Science at RWTH Aachen University and in several consulting mandates. The implementation of the timetable stability tool OnTimewas done by cooperation of trafIT solutions gmbh, Zurich, and VIA Consulting & Development GmbH, Aachen. Primary delays to describe the level of disturbance a railway system has to deal with.Timetable and accompanying operational information (connections, turn-arounds.The basic input needed for any assessment of timetable quality in OnTimeare The possibility to reproduce an actual disturbance level makes it possible to calibrate the model and provide accurate prognoses of punctuality.The short time for the timetable simulation allows for new possibilities in the process of timetable design and timetable evaluation.The analytical approach makes it possible to calculate the punctuality of networkwide timetables in minutes rather than hours/days. Events that in practice lead to alterations in a delay are mapped by manipulating the distribution functions in analytical methods. Unlike in Monte-Carlo simulation, where concrete realisations of the delay situation are generated for each simulation run, analytical methods directly process the distribution functions of the underlying random variables. Subjecting delay propagation to analytical mapping allows dependable computations to be speedily achieved even for large networks.So for the first time it is possible to quantify the complex networkwide effects of timetable alterations. it is possible to analyse timetables for entire regional or national networks instead of only a network sector.This approach expands the possibilities of timetable quality assessment compared to other simulation software: ![]() Using analytical procedures to compute the propagation of delays on major railway networks yields sizeable advantages over Monte Carlo simulations concerning the size of the area under investigation, the speed of analysis and the quality of results. Random variables are used to model the types of delays arising with the aid of distribution or density functions. In order to gauge the quality of traffic achievable in a timetable or, more generally, in an operating concept, it is necessary to predict how potential delays will propagate through the railway network. It completes SBB´s software toolbox by adding a software suite for timetable stability analysis. To asses the quality of timetables Schweizerische Bundesbahnen (SBB) ordered the implementation of the so called "Stabilitätsmodul". Ensuring a high quality of service starts in early planning stages and needs powerful software tools.
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