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Intelligent traffic controller using image processing

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dc.contributor.author Fernando, J.J.R.S.
dc.contributor.author Jayasiri, A.
dc.date.accessioned 2018-08-06T06:47:17Z
dc.date.available 2018-08-06T06:47:17Z
dc.date.issued 2018
dc.identifier.citation Fernando,J.J.R.S. and Jayasiri,A. (2018). Intelligent traffic controller using image processing. International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka. p.42. en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/18951
dc.description.abstract Traffic congestion has become significant problem in recent years with the ever increasing number of vehicles and poor management of traffic. Traffic patterns are not constant throughout the day. They are changing from time to time. Since present traffic controllers have fixed time intervals for signal lights, they could not provide a better solution. Computer vision can be used to create an intelligent traffic controller which can adapt its time intervals according to the real traffic. Several studies have been carried out based on the concept of real time image processing to manage the traffic. In current traffic controllers, wastage of effective green time is occurred, as many times fixed green time period which is assigned for a phase is larger than it actually needs. Hence the other roads at the intersection have to wait in vain, with more traffic, until that fixed green time period is over. In the proposed method real time traffic image sequences are analysed using image processing, in order to obtain actual traffic area. Then, time for green light is allocated according to that traffic area. Hence, wastage of effective green time is eliminated by the proposed method since it allocates time to green signal that is sufficient to pass the actual traffic presented on the road. Results reveals, effective green time that need to pass the traffic, is proportional to the road area covered by traffic at that time. en_US
dc.language.iso en en_US
dc.publisher International Research Conference on Smart Computing and Systems Engineering - SCSE 2018 en_US
dc.subject Effective green time en_US
dc.subject Image processing en_US
dc.subject Intelligent controlling of traffic en_US
dc.subject Traffic area en_US
dc.title Intelligent traffic controller using image processing en_US
dc.type Article en_US


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