Investigation of the train schedule and headway for mass rapid transit

On 17 July 2017, 31 stations of Mass Rapid Transit Kajang Line (MRT KGL) were fully operated. In just two years, the ridership of the KGL is about to exceed the ridership of the Ampang LRT Line which has been operated for 23 years. With the increase of the ridership, it may cause congestion in the p...

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Main Author: Nur Adibah, Abdul Wahab
Format: Final Year Project / Dissertation / Thesis
Published: 2022
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Online Access:http://eprints.utar.edu.my/4995/1/Nur_Adibah_Binti_Abdul_Wahab.pdf
http://eprints.utar.edu.my/4995/
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spelling my-utar-eprints.49952022-12-26T09:15:15Z Investigation of the train schedule and headway for mass rapid transit Nur Adibah, Abdul Wahab TK Electrical engineering. Electronics Nuclear engineering On 17 July 2017, 31 stations of Mass Rapid Transit Kajang Line (MRT KGL) were fully operated. In just two years, the ridership of the KGL is about to exceed the ridership of the Ampang LRT Line which has been operated for 23 years. With the increase of the ridership, it may cause congestion in the platform and the uncertainty of train schedule and headway. Hence, it is important to design an optimal train timetable including train dwell time to avoid the service disruption caused by congestion. The KGL train model is simulated using the ETAP software, The optimized train schedule from the KGL is used as a parameter for the simulation. The performance of the train model is evaluated. The results shows that more trains quantity and short headway can minimize the passenger congestion at the platform because no passenger needs to wait for a long time for the train arrival, especially at the end-to-end stations. 2022 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4995/1/Nur_Adibah_Binti_Abdul_Wahab.pdf Nur Adibah, Abdul Wahab (2022) Investigation of the train schedule and headway for mass rapid transit. Master dissertation/thesis, UTAR. http://eprints.utar.edu.my/4995/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nur Adibah, Abdul Wahab
Investigation of the train schedule and headway for mass rapid transit
description On 17 July 2017, 31 stations of Mass Rapid Transit Kajang Line (MRT KGL) were fully operated. In just two years, the ridership of the KGL is about to exceed the ridership of the Ampang LRT Line which has been operated for 23 years. With the increase of the ridership, it may cause congestion in the platform and the uncertainty of train schedule and headway. Hence, it is important to design an optimal train timetable including train dwell time to avoid the service disruption caused by congestion. The KGL train model is simulated using the ETAP software, The optimized train schedule from the KGL is used as a parameter for the simulation. The performance of the train model is evaluated. The results shows that more trains quantity and short headway can minimize the passenger congestion at the platform because no passenger needs to wait for a long time for the train arrival, especially at the end-to-end stations.
format Final Year Project / Dissertation / Thesis
author Nur Adibah, Abdul Wahab
author_facet Nur Adibah, Abdul Wahab
author_sort Nur Adibah, Abdul Wahab
title Investigation of the train schedule and headway for mass rapid transit
title_short Investigation of the train schedule and headway for mass rapid transit
title_full Investigation of the train schedule and headway for mass rapid transit
title_fullStr Investigation of the train schedule and headway for mass rapid transit
title_full_unstemmed Investigation of the train schedule and headway for mass rapid transit
title_sort investigation of the train schedule and headway for mass rapid transit
publishDate 2022
url http://eprints.utar.edu.my/4995/1/Nur_Adibah_Binti_Abdul_Wahab.pdf
http://eprints.utar.edu.my/4995/
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score 13.160551