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Defining Reserve Times for Metro Systems: An Analytical Approach

Authors :
D'Acierno, Luca
Botte, Marilisa
Gallo, Mariano
Montella, Bruno
Source :
Journal of Advanced Transportation. Annual, 2018, Vol. 2018
Publication Year :
2018

Abstract

The aim of this paper is to provide an analytical approach for determining operational parameters for metro systems so as to support the planning and implementation of energy-saving strategies. Indeed, one of the main targets of train operating companies is to identify and implement suitable strategies for reducing energy consumption. For this purpose, researchers and practitioners have developed energy-efficient driving profiles with the aim of optimising train motion. However, as such profiles generally entail an increase in travel times, the operating parameters in the planned timetable need to be appropriately recalibrated. Against this background, this paper develops a suitable methodology for estimating reserve times which represent the main rate of extra time needed to put ecodriving strategies in place. Our proposal is to exploit layover times (i.e., times spent by a train at the terminus waiting for the next trip) for energy-saving purposes, keeping buffer times intact in order to preserve the flexibility and robustness of the timetable in case of delays. In order to show its feasibility, the approach was applied in the case of a real metro context, whose service frequency was duly taken into account. In particular, after stochastic analysis of the parameters involved for calibrating suitable buffer times, different operating schemes were simulated by analysing the relationship between layover times, number of convoys, and feasible headway values. Finally, some operation configurations are analysed in order to quantify the amount of energy that can be saved.<br />1. Introduction Rail transport systems are undoubtedly the best solution to satisfy high travel demand in densely populated areas: they offer high transport capacity, are unaffected by traffic congestion, and [...]

Details

Language :
English
ISSN :
01976729
Volume :
2018
Database :
Gale General OneFile
Journal :
Journal of Advanced Transportation
Publication Type :
Academic Journal
Accession number :
edsgcl.591394715
Full Text :
https://doi.org/10.1155/2018/5983250