Trajectory analysis of moving objects at intersection based on laser-data

The study of traffic behavior at intersections is an important research direction in the field of intelligent transportation system (ITS). It is considered very practical to reduce accident, solve traffic jam and improve its accessibility. This paper proposed a trajectory analysis method for vehicles passing an intersection. The motion trajectories of vehicles were obtained by a traffic data collecting system using a network of single-row laser scanners. The intersection could be described by a group of route models which are built based on trajectory clustering, so large amount of trajectories could be classified to different routes and abnormal ones could also be detected. Experimental results based on real trajectories obtained from an intersection in Beijing show the validity of our proposed method.