研究目的
To develop a real-time traffic control system that uses image processing techniques to manage traffic lights based on the density of vehicles on the road.
研究成果
An efficient density based traffic control system is simulated and implemented which provides a good traffic control mechanism without time wastage. It is also a much better way of detecting the presence of vehicles on the road since it makes use of image data. The proposed system outperforms the existing system in terms of accuracy and simplicity.
研究不足
The weather conditions are not taken into account which may affect the image quality when it becomes foggy or in heavy rains.
1：Experimental Design and Method Selection:
The system uses image processing techniques such as background subtraction to find the count of vehicles present on the road (traffic density) which can be used to control the traffic signal light. The image processing tools in Matlab are used to program the code for finding the count of vehicles in a lane.
2：Sample Selection and Data Sources:
A webcam is used at each stage of the traffic light to record images of the traffic lane.
3：List of Experimental Equipment and Materials:
A USB based web camera to capture images of the traffic on road, an Arduino board used to control LEDs representing the red and green lights, a timer module to display the remaining time.
4：Experimental Procedures and Operational Workflow:
The video is recorded continuously in consecutive frames and each frame is compared to the initial captured image. The total number of cars present in the video is found out using image processing algorithms.
5：Data Analysis Methods:
The count of vehicles found can be used for controlling the traffic signal. Time allocation is done based on the count and is indicated using LEDs and a Seven Segment Display screen.
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