The cooperative vehicle infrastructure system (CVIS) is used to acquire real-time information such as vehicle position, vehicle speed, queue length and signal status by wireless communication and sensor detection technology. In order to alleviate the dilemma zone problem of signal control intersections and improve its traffic efficiency, this paper proposes a speed guidance strategy by analyzed the driving behavior of autonomous vehicles in the intersections. In the cellular automata model, the vehicle location and speed can be obtained every second. In this paper, the NS model of cellular automaton model is improved according to the speed guidance strategy, and the speed guidance model (SG model) based on cellular automaton is established. The results show that the model can effectively increase the number of vehicles passing through the intersection.

CICTP