Modeling of fuzzy control mechanism of Intersection by using Colored Petri Net in the VANET In order to reduce urban traffic congestion

Nowadays due to increased traffic congestion, travel time problem in the urban road network is one of the most important issues in big cities. A significant part of travel time is related to time that delayed in intersections. Hence, the issue of intersections control is important to reduce delays. Receiving traffic information is one of usual method by using cameras, sensors and image processors and applying fuzzy logic to obtain the optimal schedule. The purpose of this paper is to achieve the optimum timing for the intersection, by using available data from Vehicular Ad hoc Network and to extent the fuzzy rules for intersection control mechanism. So that high priority is given to routes with higher density and thus urban traffic congestion is reduced. In addition to traffic information that is accessible through image processors, other information such as waiting time and stop any of the vehicles is also available on VANET. The proposed control mechanism can be modeled using Petri Net and evaluate of suggestions will be possible with the help of this method.