MARC表示: Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis

Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis

Most traffic light today used pre-timed traffic light, traffic light using sensors and traffic light which displaying a countdown timer. However, the existing methods consume a long time of vehicle queuing and waiting the traffic light signals to change, which created congestion at intersection of r...

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主要な著者:	Zainal Abidin, Zaheera, Abal Abas, Zuraida, Lim, Ee Theng, Abdul Rahman, Ahmad Fadzli Nizam, Shibghatullah, Abdul Samad
フォーマット:	論文
言語:	English
出版事項:	Asian Research Publishing Network (ARPN) 2015
主題:	QA76 Computer software
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/19297/1/Enhanced%20Scheduling%20Traffic%20Light%20Model%20using%20DES%20for%20Improved%20Signal%20Timing.pdf http://eprints.utem.edu.my/id/eprint/19297/ http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1015_2692.pdf
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id	my.utem.eprints.19297
record_format	eprints
spelling	my.utem.eprints.192972023-06-26T14:54:39Z http://eprints.utem.edu.my/id/eprint/19297/ Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis Zainal Abidin, Zaheera Abal Abas, Zuraida Lim, Ee Theng Abdul Rahman, Ahmad Fadzli Nizam Shibghatullah, Abdul Samad QA76 Computer software Most traffic light today used pre-timed traffic light, traffic light using sensors and traffic light which displaying a countdown timer. However, the existing methods consume a long time of vehicle queuing and waiting the traffic light signals to change, which created congestion at intersection of roads. In this paper, the proposed model enhanced the scheduling traffic light, which simulates the vehicle behaviour based on discrete event simulation and queue theory. Therefore, the simulation becomes more realistic and contributes to accurate outcome. This work focuses on the analysis of the average waiting time for the vehicle in three cases: heavy, medium and low traffic volume. The most optimum traffic signal timing is the one with minimum waiting time for the vehicles. Moreover, the new model solves the critical traffic congestion problem not only in simulation but also in real environment, which drivers take the longest average waiting time is 86 seconds while the shortest average waiting time is 64 seconds at the junction although in heavy traffic congestion. An extensive simulations have been conducted in this work in which a green interval as a control parameter is selected. Asian Research Publishing Network (ARPN) 2015-10 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/19297/1/Enhanced%20Scheduling%20Traffic%20Light%20Model%20using%20DES%20for%20Improved%20Signal%20Timing.pdf Zainal Abidin, Zaheera and Abal Abas, Zuraida and Lim, Ee Theng and Abdul Rahman, Ahmad Fadzli Nizam and Shibghatullah, Abdul Samad (2015) Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis. ARPN Journal Of Engineering And Applied Sciences, 10 (18). pp. 8135-8140. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1015_2692.pdf
institution	Universiti Teknikal Malaysia Melaka
building	UTEM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknikal Malaysia Melaka
content_source	UTEM Institutional Repository
url_provider	http://eprints.utem.edu.my/
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Zainal Abidin, Zaheera Abal Abas, Zuraida Lim, Ee Theng Abdul Rahman, Ahmad Fadzli Nizam Shibghatullah, Abdul Samad Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis
description	Most traffic light today used pre-timed traffic light, traffic light using sensors and traffic light which displaying a countdown timer. However, the existing methods consume a long time of vehicle queuing and waiting the traffic light signals to change, which created congestion at intersection of roads. In this paper, the proposed model enhanced the scheduling traffic light, which simulates the vehicle behaviour based on discrete event simulation and queue theory. Therefore, the simulation becomes more realistic and contributes to accurate outcome. This work focuses on the analysis of the average waiting time for the vehicle in three cases: heavy, medium and low traffic volume. The most optimum traffic signal timing is the one with minimum waiting time for the vehicles. Moreover, the new model solves the critical traffic congestion problem not only in simulation but also in real environment, which drivers take the longest average waiting time is 86 seconds while the shortest average waiting time is 64 seconds at the junction although in heavy traffic congestion. An extensive simulations have been conducted in this work in which a green interval as a control parameter is selected.
format	Article
author	Zainal Abidin, Zaheera Abal Abas, Zuraida Lim, Ee Theng Abdul Rahman, Ahmad Fadzli Nizam Shibghatullah, Abdul Samad
author_facet	Zainal Abidin, Zaheera Abal Abas, Zuraida Lim, Ee Theng Abdul Rahman, Ahmad Fadzli Nizam Shibghatullah, Abdul Samad
author_sort	Zainal Abidin, Zaheera
title	Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis
title_short	Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis
title_full	Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis
title_fullStr	Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis
title_full_unstemmed	Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis
title_sort	enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis
publisher	Asian Research Publishing Network (ARPN)
publishDate	2015
url	http://eprints.utem.edu.my/id/eprint/19297/1/Enhanced%20Scheduling%20Traffic%20Light%20Model%20using%20DES%20for%20Improved%20Signal%20Timing.pdf http://eprints.utem.edu.my/id/eprint/19297/ http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1015_2692.pdf
_version_	1769847391146475520
score	13.250246

Enhanced scheduling traffic light model using discrete event simulation for improved signal timing analysis

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