Optimization of traction energy consumption using intelligent rail traffic management systems

Abstract: The subject of this work is the analysis of the benefits of implementing intelligent railway traffic management systems with regard to achieving smooth train operation and, consequently, reducing the train’s traction energy consumption. The analysis refers to technical solutions us...

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Main Author: Janusz Szkopiński
Format: Article
Language:English
Published: SITK RP 2023-08-01
Series:Przegląd Komunikacyjny
Online Access:https://www.transportation.overview.pwr.edu.pl/UPLOAD/BAZA-ARTYKULOW/ENG/2023/06/A_ENG_23_06_07_08_06.pdf
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author Janusz Szkopiński
author_facet Janusz Szkopiński
author_sort Janusz Szkopiński
collection DOAJ
description Abstract: The subject of this work is the analysis of the benefits of implementing intelligent railway traffic management systems with regard to achieving smooth train operation and, consequently, reducing the train’s traction energy consumption. The analysis refers to technical solutions used on European railways that enable the optimization of train traffic. One of the factors allowing such optimization is the shaping of the train’s speed profile so that the travel time to a signal showing “Stop” is not shorter than the expected time until the signal changes to allow further travel. As part of this analysis, traffic simulations were carried out based on the ETR610 ED250-type train model, for different variants of train speed control and two variants of the preliminary distance to the signal. The result of the work includes observations on the possibility of implementing intelligent railway traffic management systems, including a comparison of possible savings in traction energy consumption. Keywords: Optimization; Energy consumption; Railway traffic management
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spelling doaj-art-a43b34f884fd419c8c8c553eebc5176b2025-08-20T03:18:02ZengSITK RPPrzegląd Komunikacyjny0033-22322544-60372023-08-01708110.35117/A_ENG_23_06_07_08_06Optimization of traction energy consumption using intelligent rail traffic management systemsJanusz Szkopiński Abstract: The subject of this work is the analysis of the benefits of implementing intelligent railway traffic management systems with regard to achieving smooth train operation and, consequently, reducing the train’s traction energy consumption. The analysis refers to technical solutions used on European railways that enable the optimization of train traffic. One of the factors allowing such optimization is the shaping of the train’s speed profile so that the travel time to a signal showing “Stop” is not shorter than the expected time until the signal changes to allow further travel. As part of this analysis, traffic simulations were carried out based on the ETR610 ED250-type train model, for different variants of train speed control and two variants of the preliminary distance to the signal. The result of the work includes observations on the possibility of implementing intelligent railway traffic management systems, including a comparison of possible savings in traction energy consumption. Keywords: Optimization; Energy consumption; Railway traffic managementhttps://www.transportation.overview.pwr.edu.pl/UPLOAD/BAZA-ARTYKULOW/ENG/2023/06/A_ENG_23_06_07_08_06.pdf
spellingShingle Janusz Szkopiński
Optimization of traction energy consumption using intelligent rail traffic management systems
Przegląd Komunikacyjny
title Optimization of traction energy consumption using intelligent rail traffic management systems
title_full Optimization of traction energy consumption using intelligent rail traffic management systems
title_fullStr Optimization of traction energy consumption using intelligent rail traffic management systems
title_full_unstemmed Optimization of traction energy consumption using intelligent rail traffic management systems
title_short Optimization of traction energy consumption using intelligent rail traffic management systems
title_sort optimization of traction energy consumption using intelligent rail traffic management systems
url https://www.transportation.overview.pwr.edu.pl/UPLOAD/BAZA-ARTYKULOW/ENG/2023/06/A_ENG_23_06_07_08_06.pdf
work_keys_str_mv AT januszszkopinski optimizationoftractionenergyconsumptionusingintelligentrailtrafficmanagementsystems