Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan

The train is the best alternative public transport for Malaysians to use to avoid traffic jams. However, passengers are often delayed by the lengthy queuing time at the ticket counter during rush hours. To help reduce passenger travel time before boarding during rush hour, the current study aimed to...

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Bibliographic Details
Main Author:	Noor Hamizan, Nur Ariena Farhana
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Urban transportation
Online Access:	https://ir.uitm.edu.my/id/eprint/44416/1/44416.pdf
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id	my-uitm-ir.44416
record_format	uketd_dc
spelling	my-uitm-ir.444162021-10-27T04:09:21Z Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan 2021-03-29 Noor Hamizan, Nur Ariena Farhana Urban transportation Path analysis. Structural equation modeling The train is the best alternative public transport for Malaysians to use to avoid traffic jams. However, passengers are often delayed by the lengthy queuing time at the ticket counter during rush hours. To help reduce passenger travel time before boarding during rush hour, the current study aimed to minimize two items, namely counter service time for buying tickets and travel time from the ticket counter to the train platform. To achieve these objectives, Queuing Theory Problem and Shortest Path Problem (Dijkstra Algorithm) were applied. Based on the result, both objectives were successfully achieved. The minimum average counter service time was 0.88 minutes. Then, the shortest time from the ticket counter to the platform was 111 seconds. For both time frames, the minimum duration before buying tickets until arriving at the platform was 2.73 minutes. It is recommended that future research in this area compare between waiting time during rush hour and non-rush hour to identify the major problem that occurs during rush hour. This study can be further enhanced by expanding the use of the queuing theory to determine the number of optimal counters to operate at one time. 2021-03 Thesis https://ir.uitm.edu.my/id/eprint/44416/ https://ir.uitm.edu.my/id/eprint/44416/1/44416.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Computer & Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Urban transportation Urban transportation
spellingShingle	Urban transportation Urban transportation Noor Hamizan, Nur Ariena Farhana Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan
description	The train is the best alternative public transport for Malaysians to use to avoid traffic jams. However, passengers are often delayed by the lengthy queuing time at the ticket counter during rush hours. To help reduce passenger travel time before boarding during rush hour, the current study aimed to minimize two items, namely counter service time for buying tickets and travel time from the ticket counter to the train platform. To achieve these objectives, Queuing Theory Problem and Shortest Path Problem (Dijkstra Algorithm) were applied. Based on the result, both objectives were successfully achieved. The minimum average counter service time was 0.88 minutes. Then, the shortest time from the ticket counter to the platform was 111 seconds. For both time frames, the minimum duration before buying tickets until arriving at the platform was 2.73 minutes. It is recommended that future research in this area compare between waiting time during rush hour and non-rush hour to identify the major problem that occurs during rush hour. This study can be further enhanced by expanding the use of the queuing theory to determine the number of optimal counters to operate at one time.
format	Thesis
qualification_level	Bachelor degree
author	Noor Hamizan, Nur Ariena Farhana
author_facet	Noor Hamizan, Nur Ariena Farhana
author_sort	Noor Hamizan, Nur Ariena Farhana
title	Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan
title_short	Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan
title_full	Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan
title_fullStr	Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan
title_full_unstemmed	Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan
title_sort	optimizing passenger before- boarding time using queuing theory and dijkstra algorithm / nur ariena farhana noor hamizan
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Computer & Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/44416/1/44416.pdf
_version_	1783734718123999232

Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan

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