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Title: Density-based real-time traffic controlling system using image processing
Authors: Yehani, I. K. B.
Kumara, L. A. Y. D.
Nishantha, K. M. I.
Aashiq, M. N. M.
Hirshan, R.
Kumara, W. G. C. W.
Keywords: Traffic light systems
Traffic congestion
Image processing
Queuing Theory
Issue Date: 24-Aug-2022
Publisher: Faculty of Technology, South Eastern University of Sri Lanka, Sri Lanka
Citation: 2nd International Conference -2022(ICST2022) Proceedings on” Building Sustainable Future Through Technological Transformation “24th August 2022. Faculty of Technology, South Eastern University of Sri Lanka. pp.2-7.
Abstract: The vehicle population is growing rapidly with the growth of the population. Therefore, traffic congestion is increasing in urban areas. Associated problems such as accidents, stress, and pollution also increase in proportion to traffic problems. In most cities, traffic light systems are used to reduce traffic congestion. Most traffic lights work with a pre-programmed method, or Traffic Police control traffic congestion manually. In Sri Lanka, there is usually heavy traffic congestion during peak hours. During peak hours, Traffic Police control traffic congestion manually. Since this manual procedure is inadequate to control heavy traffic congestion, a real-time traffic controlling system is needed to solve this problem. Our proposed system is implemented to control this traffic congestion problem using realtime traffic density. Further, it is expected to avoid or minimize traffic congestion using image processing techniques.
ISBN: 978-624-5736-40-9
Appears in Collections:2nd International Conference on Science and Technology

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