Designing of a Fuzzy Logic based Traffic Controller System using VHDL

This paper proposes a novel traffic controller hardware, which can be emulated the human knowledge as fuzzy logic rules, and its application as the controller for dynamic traffic load control system. The structure of this proposed hardware is derived based on expert system in the form of fuzzy IF-THEN rules. The initial setting of its parameters can be intuitively chosen from expert's experience. The developed traffic controller module uses knowledge based fuzzy rules and parameters. Knowledge based feature makes the developed hardware design more simple and efficient, especially when compared with traditional trial and error based method. Smart and flexible functionality of the Fuzzy Traffic Controller (FTC) system can effectively minimize traffic jam occurrences at interchange on road area. The FTC is targeted for the Field-Programmable Gate Arrays (FPGA) platform. To develop the system, the behaviour level of the FTC algorithm has been described in VHDL under MAX+PLUS II environment. Simulations have been carried out to verify the correct functionality of the FTC chip. Finite State Machine (FSM) is used to ensure precise traffic flow operation. The FPGA Express, (Synthesis tool) has been used to get gate-level schematic of the FTC chip. Finally, the design codes of the FTC have been downloaded into FPGA Educational board (Altera FLEX10K). Performance comparison of the developed expert FTC chip with other conventional controller for controlling traffic light is evaluated.