Fuzzy logic model for traffic signal intersection Free

We investigate the development of a fixed-time signal intersection optimization system using Fuzzy Logic. The conventional method utilizes the method of Indonesia Highway Capacity Manual (IHCM) model 1997 which is adopted from American version of the Highway Capacity Manual (HCM). The Fuzzy Logic potentially brings some efficiency in the optimization, through decreasing the length of the vehicle queue and therefore increasing the capacity of the traffic passing through the intersection. The main feature of the Fuzzy Logic system is that the analysis involves linguistic variables. Optimization of the signal intersection is obtained through a series of combinations of variable analysis of membership function calculations in the fuzzy inference engine. The model is verified with fuzzified data from the 2015 traffic research survey in Bandung. The final analysis shows that the number of vehicle queues decreases while the traffic passing through the intersection increases, therefore this Fuzzy Logic model is expected to contribute and to give alternative handling for optimum intersection with a fixed-time signal.