"Multi-source traffic information" data uses brightness, chromaticity and edge information to detect possible shadow areas in color space, and uses logical "AND" operations to fuse the multi-source detection results to obtain the final shadow area. .It can obtain more accurate traffic information including vehicle speed, traffic flow, road occupancy, etc. than a single sensor, thereby achieving more effective traffic control and management.
Vehicle detection is the basic core issue of the intelligent transportation system. Obtaining accurate traffic flow, speed and other traffic parameters through vehicle detection is an important basis for implementing effective road guidance, traffic control and other traffic management. Traditional vehicle detection methods generally use a single type of sensor, but a single sensor is subject to its own limitations, and has its disadvantages when used for vehicle detection.