Abstract: In a cooperative vehicle infrastructure system (CVIS), the road site unit can get the information about the position and speed of vehicles, which provides opportunities and conditions for improving traffic signal control. A single intersection is taken as the research object in this paper. A traffic signal control method is proposed based on traffic density in the CVIS by means of induction control method. This algorithm can choose the direction of flow based on the biggest traffic density of the import lanes, and determine entrance green time by the queue dissipation time. In order to verify the effectiveness of the algorithm, HumenLiansheng intersection is taken as an example. Simulation models for the peak, flat peak, and low peak are built respectively by using the Vissim traffic simulation software. Analysis is also conducted to evaluate the traffic signal control indexes for the proposed algorithm, the induction control method, and the fix control mode under the same traffic demand. These indexes include the average travel time, the average delay time, the average number of stops, and the average queue length. Results show that, compared with induction control method and the fixed control mode, all the traffic signal control indexes obtained by the proposed algorithm are obviously improved under different demands.

Key words: intelligent transportation system, cooperative vehicle infrastructure system, signal control, Vissim traffic simulation