Abstract:

We propose a novel traffic flow estimation and traffic state detection approach. Firstly, the detection line used to compute the space-time map is set via man-machine interaction, and the processes such as edge detection, image segmentation and so on are then performed in the space-time map. The traffic flow for a period of time is estimated by using the information of edge, shape and the rate of road occupation. In addition, the current traffic state is divided into three levels: clear, crowd and jam by using the difference between edge information in the space-time map. Experimental results show that the proposed approach can effectively compute the traffic flow and detect the traffic state, and it is practical for commerce.

Key words: intelligent traffic, space-temporal map, detection line, traffic flow counting, traffic state detection