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Details of journal paper

Title: Statistical dwell time model for metro lines
Authors: I. Martínez , B. Vitoriano , A. Fernández-Cardador , A.P. Cucala
Keywords: traffic simulation models, dwell time, stochastic component
Research topics *Energy efficient timetabling and train driving (Ecodriving)
Abstract: Traffic simulation models in metro lines are widely used in predictive control algorithms for traffic regulation and robustness analysis of timetables. The simulation results are highly dependent on the uncertainty modelling. The two main parameters in the simulation models are running times and dwell times. In lines operated with ATO systems (Automatic Train Operation), running times are more deterministic than random (consequence of control actions), while dwell times show a higher stochastic behaviour due to the influence of passengers and drivers. Typically, simulation models do not include a realistic modelling of dwell time uncertainty, and the confidence on results is affected. This paper is focused on the stochastic component of dwell times in order to obtain a realistic model suitable for traffic simulation of metro lines. For this purpose, several statistical studies have been developed considering peak and off-peak hours, incidences, relations with other operation variables, etc. Models have been obtained and validated using data of different days and Metro de Madrid lines.
Reference: WIT Transactions on The Built Environment
Number: 96   Pages: 223-232
Publication date:September 2007
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