Adaptive Control Of Traffic Grid Using Fuzzy Logic
A considerable amount of work has been done on the problem of modeling and controlling traffic junctions.
Although the description of the events occurring in any individual intersection in the linked or disjoint system can be useful
in modeling simple traffic networks the major problem in cities concerns sets of intersections (not individual ones). An
adaptive traffic controller using fuzzy logic is presented which takes into consideration the situation of its neighbors. The
controller gives preference to less fuel consuming vehicles, public transport vehicles and high priority vehicles. A traffic grid
system is designed using Simevents Toolbox of Simulink with provisions for turning and random class of vehicles. The
results obtained from the implementation of this fuzzy logic controller are tabulated against those corresponding to a
conventional cyclic fixed time controller, vehicle actuated controller and a basic fuzzy logic controller (designed for isolated
junction). Simulations are done for varying traffic conditions namely heavy, medium, light and random. With the
performance criterion being the average waiting time of vehicles, it is shown that the use of this fuzzy logic controller results
in a better performance.