Video detection system for traffic Iight sensor

The point based inductive loop is widely used in conventional traffic light sensors. The sensor is used either to detect the presence of vehicles or : to measure the gap or headway of the arriving vehicle in the vehicle-actuated system or to count the traffic volume and to determine the queue length...

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Main Authors:	Rahmat, Riza Atiq, Jumari, K., Hassan, Azmi, Basri, H.
Format:	Article
Language:	English
Published:	Hemming Group 2001
Subjects:	QA75 Electronic computers. Computer science T175 Industrial research. Research and development
Online Access:	http://irep.iium.edu.my/37311/ http://irep.iium.edu.my/37311/1/azmi.pdf

id	iium-37311
recordtype	eprints
spelling	iium-373112014-07-14T02:06:30Z http://irep.iium.edu.my/37311/ Video detection system for traffic Iight sensor Rahmat, Riza Atiq Jumari, K. Hassan, Azmi Basri, H. QA75 Electronic computers. Computer science T175 Industrial research. Research and development The point based inductive loop is widely used in conventional traffic light sensors. The sensor is used either to detect the presence of vehicles or : to measure the gap or headway of the arriving vehicle in the vehicle-actuated system or to count the traffic volume and to determine the queue length in a coordinated adaptive system. In a more sophisticated system, the sensor is also used to detect any traffic incident. However, the rising cost of installing the loops and disruption of traffic flows during installation or maintenance has resulted in the video detection system becoming more attractive. In addition, the cost of equipment for the video detection system has reduced substantially in the past l0 years. This paper describes the utilisation of a video camera and image processing to detect the presence of vehicles, to count the volume of approaching traffic, to measure queue length and to detect traffic incidents at the approach road of a signalised intersection. Neural networks were used to detect the presence of the vehicles, to detect the traffic incident and to measure the queue length by identifying whether the road surface was occupied by vehicles and whether these vehicles were moving or stationary for a specified duration of time. The number of arriving vehicles was counted by observing the fluctuation of the selected pixels values in the middle of the traffic lane. A single camera which was developed in this study is able to capture the above mentioned parameters simultaneously from a multi-lane road approach. Hemming Group 2001-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/37311/1/azmi.pdf Rahmat, Riza Atiq and Jumari, K. and Hassan, Azmi and Basri, H. (2001) Video detection system for traffic Iight sensor. Traffic Engineering and Control, 42 (11). pp. 386-390. ISSN 0041-0683
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science T175 Industrial research. Research and development
spellingShingle	QA75 Electronic computers. Computer science T175 Industrial research. Research and development Rahmat, Riza Atiq Jumari, K. Hassan, Azmi Basri, H. Video detection system for traffic Iight sensor
description	The point based inductive loop is widely used in conventional traffic light sensors. The sensor is used either to detect the presence of vehicles or : to measure the gap or headway of the arriving vehicle in the vehicle-actuated system or to count the traffic volume and to determine the queue length in a coordinated adaptive system. In a more sophisticated system, the sensor is also used to detect any traffic incident. However, the rising cost of installing the loops and disruption of traffic flows during installation or maintenance has resulted in the video detection system becoming more attractive. In addition, the cost of equipment for the video detection system has reduced substantially in the past l0 years. This paper describes the utilisation of a video camera and image processing to detect the presence of vehicles, to count the volume of approaching traffic, to measure queue length and to detect traffic incidents at the approach road of a signalised intersection. Neural networks were used to detect the presence of the vehicles, to detect the traffic incident and to measure the queue length by identifying whether the road surface was occupied by vehicles and whether these vehicles were moving or stationary for a specified duration of time. The number of arriving vehicles was counted by observing the fluctuation of the selected pixels values in the middle of the traffic lane. A single camera which was developed in this study is able to capture the above mentioned parameters simultaneously from a multi-lane road approach.
format	Article
author	Rahmat, Riza Atiq Jumari, K. Hassan, Azmi Basri, H.
author_facet	Rahmat, Riza Atiq Jumari, K. Hassan, Azmi Basri, H.
author_sort	Rahmat, Riza Atiq
title	Video detection system for traffic Iight sensor
title_short	Video detection system for traffic Iight sensor
title_full	Video detection system for traffic Iight sensor
title_fullStr	Video detection system for traffic Iight sensor
title_full_unstemmed	Video detection system for traffic Iight sensor
title_sort	video detection system for traffic iight sensor
publisher	Hemming Group
publishDate	2001
url	http://irep.iium.edu.my/37311/ http://irep.iium.edu.my/37311/1/azmi.pdf
first_indexed	2023-09-18T20:53:32Z
last_indexed	2023-09-18T20:53:32Z
_version_	1777410152608038912

Video detection system for traffic Iight sensor

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