Optimising traffic control for a congested intersectton

ln congested road networks, a signalised intersection that determines cycle time and green time splits based on current traffic demand will greatly improve traffic flows. Vehicle actuated traffic signals are very commonly used to control isolated intersections due to their ability to respond to the...

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Main Authors:	Rahmat, Riza Atiq, Jumari, K., Hassan, Azmi, Basri, Hassan
Format:	Article
Language:	English
Published:	Hemming Group 2002
Subjects:	QA76 Computer software T Technology (General)
Online Access:	http://irep.iium.edu.my/37333/ http://irep.iium.edu.my/37333/ http://irep.iium.edu.my/37333/1/TEC_2002.pdf

id	iium-37333
recordtype	eprints
spelling	iium-373332014-08-08T09:02:44Z http://irep.iium.edu.my/37333/ Optimising traffic control for a congested intersectton Rahmat, Riza Atiq Jumari, K. Hassan, Azmi Basri, Hassan QA76 Computer software T Technology (General) ln congested road networks, a signalised intersection that determines cycle time and green time splits based on current traffic demand will greatly improve traffic flows. Vehicle actuated traffic signals are very commonly used to control isolated intersections due to their ability to respond to the actual traffic demand. However it was observed that unnecessary stop delays occur because the given green time allocations were more than that required. This is due to position of the detector which is located in the vicinity of the stop line. A significant reduction in vehicle delay was observed when the detectors were located 30 - 40 meters from the stop lines. Also, the signal performance was observed to deteriorate when most arms of the junction were congested. The reason for this deterioration was that the pre-set maximum green times were not optimised for the actual traffic demand. ln this study the genetic algorithm technique was utilised to optimise traffic control by minimising a performance index which, in this case, is the stop-delay. ln the event of over congestion, the traffic signal will control the traffic by emulating manual control by traffic marshals by prioritising selected arms or giving more green times based on queue length or a combination of both. Hemming Group 2002-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/37333/1/TEC_2002.pdf Rahmat, Riza Atiq and Jumari, K. and Hassan, Azmi and Basri, Hassan (2002) Optimising traffic control for a congested intersectton. Traffic Engineering and Control, 43 (9). pp. 357-362. ISSN 0041-0683 http://www.tecmagazine.com/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA76 Computer software T Technology (General)
spellingShingle	QA76 Computer software T Technology (General) Rahmat, Riza Atiq Jumari, K. Hassan, Azmi Basri, Hassan Optimising traffic control for a congested intersectton
description	ln congested road networks, a signalised intersection that determines cycle time and green time splits based on current traffic demand will greatly improve traffic flows. Vehicle actuated traffic signals are very commonly used to control isolated intersections due to their ability to respond to the actual traffic demand. However it was observed that unnecessary stop delays occur because the given green time allocations were more than that required. This is due to position of the detector which is located in the vicinity of the stop line. A significant reduction in vehicle delay was observed when the detectors were located 30 - 40 meters from the stop lines. Also, the signal performance was observed to deteriorate when most arms of the junction were congested. The reason for this deterioration was that the pre-set maximum green times were not optimised for the actual traffic demand. ln this study the genetic algorithm technique was utilised to optimise traffic control by minimising a performance index which, in this case, is the stop-delay. ln the event of over congestion, the traffic signal will control the traffic by emulating manual control by traffic marshals by prioritising selected arms or giving more green times based on queue length or a combination of both.
format	Article
author	Rahmat, Riza Atiq Jumari, K. Hassan, Azmi Basri, Hassan
author_facet	Rahmat, Riza Atiq Jumari, K. Hassan, Azmi Basri, Hassan
author_sort	Rahmat, Riza Atiq
title	Optimising traffic control for a congested intersectton
title_short	Optimising traffic control for a congested intersectton
title_full	Optimising traffic control for a congested intersectton
title_fullStr	Optimising traffic control for a congested intersectton
title_full_unstemmed	Optimising traffic control for a congested intersectton
title_sort	optimising traffic control for a congested intersectton
publisher	Hemming Group
publishDate	2002
url	http://irep.iium.edu.my/37333/ http://irep.iium.edu.my/37333/ http://irep.iium.edu.my/37333/1/TEC_2002.pdf
first_indexed	2023-09-18T20:53:34Z
last_indexed	2023-09-18T20:53:34Z
_version_	1777410155020812288

Optimising traffic control for a congested intersectton

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