Extraction of traffic status based on spatial-temporal trajectory reconstruction

Intelligent transportation system (ITS) is recognized as an important means to solve traffic problems. The most crucial way to implement ITS is real time traffic control and dynamic traffic guidance, which are all based on the acquisition of traffic status timely and accurately. This paper puts forward a prototype system of IVICS (integration of vehicle infrastructure cooperation system), which completely changes traditional traffic information collection method. In IVICS, equipped vehicles can be regarded as moving sensors on road network, which can collect local traffic parameters distributedly and transmit to road-side station. This paper also proposes traffic status extraction method, by interpolation of incomplete trajectory data of equipped vehicles, we can reconstruct spacial-temporal trajectories to estimate traffic density, average speed and travel time of certain road segment. Simulations of NGSIM dataset show that even equipped rate is very low, such method can get precise estimation of traffic status, which demonstrates the effectiveness of the above algorithm.