Traffic Supervision System Using Unmanned Aerial Vehicle Based On Image Recognition Algorithm

As the traffic pressure is increasing, the Intelligent Transportation System (ITS) has been developing rapidly, and the Traffic Supervision System (TSS) is a crucial part of the ITS. In this article, a better TSS using unmanned aerial vehicle (UAV) with a fixed camera is proposed. Supervised by the camera, the real-time traffic condition transferred by WiFi is firstly dealt with the Adaboost algorithm which can recognize vehicles automatically in the personal computer, then according to the density of the vehicles, different strategies will be taken to relieve the condition, at the same time, the mobile phones and personal computers can accept the accurate location and flight envelop of the aerial vehicle by GPS. In the test of the real condition, this proposal improves the existing mode of transferring traffic information, and there are obvious advantages in monitoring traffic, preventing and controlling traffic congestion.