Many systems which check queue length at intersections are inaccurate. Information about small/medium/large queues are not enough for intelligent transport systems which could modify an actual intersection program in a way which may allow for optimising the traffic flow in the city. Not only does the presented system provide information about queue length in metres on every lane, but also it is based solely on camera focal length, sensor size and number of lanes in camera view, which minimizes the involvement of traffic operators in time-consuming camera setup. The system consists of several submodules, the first of which detects license plates and uses them to create a configuration of the camera. Subsequently, the second module that performs detection of the type of vehicle can determine what the current length of the queue on every lane is. All this information is sent to the traffic management system in Wroclaw which modifies the traffic lights controller programs, optimising the traffic flow in the city.
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Queue length estimation,Traffic systems,Traffic optimisation,YOLO versus RetinaNet,Image processing,Object tracking,Cluster computing