An intelligent traffic controller system based on vehicle detection and counting

Wan Zulkifli, Wan Nadia Syakira (2017) An intelligent traffic controller system based on vehicle detection and counting. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The main reason why traffic congestion has become a serious issue especially in the modern cities is the increase in the population of the large cities that subsequently raise vehicular travel, which creates congestion problem. Manually controlling a traffic light in big cities and the whole framework cost too much manpower. The incompetency of traffic police play a part in controlling traffic physically as well. Besides, the programmed traffic control uses timer control each stage. This causes the green light in the empty road being wasted. Traffic clog additionally occurred while utilizing the electronic sensors for controlling the traffic. Every one of these downsides should be dispensed with by utilizing image processing. Therefore, the main purpose of this project is to controlling the traffic light by image processing. The vehicles are detected by the system through video instead of using electronic sensors embedded in the pavement. The video will be captured by using a camera to collect the data and also done image processing analysis. Next is to purpose a vehicle counting and detection method. Image processing method will be applied in this analysis in order to gain that information to improving the management of traffic. The video taken from the camera will be done the image processing by MATLAB software. The method used for the detection are foreground detection and morphology. The knowledge and skill that was found during carried out this project will be useful in developing an efficient traffic control system. This method is efficient for large traffic congestion where only requires the processing of the image of traffic compared to traffic light that was used nowadays. The system is expected able to control the traffic efficiently based on the number of queuing vehicles.

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