Offering a Fuzzy adaptive traffic control method for isolated signalized intersections using Car-to-Car Communication

One of the most important applications of Vehicular Ad-hoc Network (VANET) is traffic control application. One of these applications is adaptive signal control at intersections. This paper, using Vehicle to Vehicle (V2V) communication, proposes a virtual (in-vehicle) signal control system. Using Fuzzy control system, it proposes an adaptive signal timing system at isolated intersections without traffic light. After calculating length of cycle and optimum phase setting using Webster equation, this paper uses a fuzzy control system for best decision making for extending green light period in different lanes of intersections. In proposed fuzzy system, in addition to considering the number of stopped and crossing vehicles, intersection emergency state is determined according to number of emergency vehicles, remaining red light time and emergency coefficient of each vehicle. Simulation results of proposed model clarified the least delay time, queue length and travel duration compared Webster equation.

کلیدواژه ها:

Intelligent transportation systems ، Traffic control ، vehicular ad hoc network (VANET) ، car-to-car communications ، Fuzzy control system