Research On Traffic Flow Detection Technology Of ITS

The detection of the traffic flow is an important part in the Intelligent Traffic Control System. The traffic information can be got from the detection of the traffic flows in the real time. These information are used in developing the control signal to instruct the traffic which can reduce traffic j ams, enhance the using efficiency of the traffic facilities, and finally meet the requirements of the efficiency for the entire transport system. Based on video traffic detection has many advantages, such as wide detect regional, simple operation, comprehensive information extraction, so it is attracting more and more attention and becoming the emerging research hot spot.After analyzed and compared to the advantages and disadvantages of the traditional methods, a method that combines the inter-frame difference and background subtraction is offered in this paper. This method can resolve the problem of depending too much on the background in the method of background finite difference. At the same time, it also can solve the double problem of frame differential method for rapid movement of objects.The shadow is always an important factor in the accuracy of traffic detection. The variables in RGB space have correlation. In this paper, hotelling transform will be used to solve the problem of shadow. The outline image of the vehicles and shadow can be got through frame differential, and then transform the contour image by hotelling transform, which lifting the RGB component of the correlation. On the basis of the model for the shadow measure detection, the shadow can be removed successfully.Multi-lane traffic flow detection put forward higher request to lane line detection. Hough Transform can detect the lines effectively; however, it requires the clearer of images and also the driveway lane markings. In order to improve the traditional Hough Transform) this paper advances a new algorithm based on fuzzy theory in lanes detection. This algorithm introduces the fuzzy sets and dynamic clustering analysis to Hough transform algorithm, which can orient the lines accurately and mark off the driveways effectively in Varieties of environmental.Local detection area will be chose after image processed, and data flow will be extracted from the local image. the traffic flow can be detected after calibrating, comparison and calculating the data flow.