Video detection system for traffic Iight sensor

Riza Atiq Abdullah O.K. Rahmat, K. Jumari, A. Hassan, Hassan Basri

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)386-390
Number of pages5
JournalTraffic Engineering and Control
Volume42
Issue number11
Publication statusPublished - Dec 2001

Fingerprint

video
Traffic
traffic
sensor
Sensor
Sensors
Queue Length
incident
road
Count
Camera
traffic volume
Costs
Adaptive Systems
costs
vehicle
detection
Traffic Flow
Adaptive systems
neural network

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Civil and Structural Engineering
  • Transportation
  • Control and Optimization

Cite this

O.K. Rahmat, R. A. A., Jumari, K., Hassan, A., & Basri, H. (2001). Video detection system for traffic Iight sensor. Traffic Engineering and Control, 42(11), 386-390.

Video detection system for traffic Iight sensor. / O.K. Rahmat, Riza Atiq Abdullah; Jumari, K.; Hassan, A.; Basri, Hassan.

In: Traffic Engineering and Control, Vol. 42, No. 11, 12.2001, p. 386-390.

Research output: Contribution to journalArticle

O.K. Rahmat, RAA, Jumari, K, Hassan, A & Basri, H 2001, 'Video detection system for traffic Iight sensor', Traffic Engineering and Control, vol. 42, no. 11, pp. 386-390.
O.K. Rahmat RAA, Jumari K, Hassan A, Basri H. Video detection system for traffic Iight sensor. Traffic Engineering and Control. 2001 Dec;42(11):386-390.
O.K. Rahmat, Riza Atiq Abdullah ; Jumari, K. ; Hassan, A. ; Basri, Hassan. / Video detection system for traffic Iight sensor. In: Traffic Engineering and Control. 2001 ; Vol. 42, No. 11. pp. 386-390.
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