Fuzzy Logic for A Traffic Signal Control with Colored Petri Net

We know that increasing fuel consumption, high environmental pollution and time wasting are the visible results of high traffic density. Developing new directions or even highways is alternative way to solve this problem. It may add several junctions. Therefore junction controlling is very important, because their usual operation will cause problem if they remain without control. This not only doesn't help to traffic managing but also leads traffic towards deadlock conditions. So, in this paper, we present a procedure which control intersection in main streets. We also provide intelligent traffic lights for each junction. These traffic lights are able to estimate traffic density, send parameters to control center and also receive them from control center. We simulate this junction controller system by CPN modeling tool to investigate the accuracy of system performance. Coloured Petri Net (CPN) can be used for simulation of different systems to remove probable defects in system and even leads it towards examination phase by various input parameters and also evaluate the results.