Hardware Implementation of Traffic Controller using Fuzzy Expert System

Abstract

This paper presents the design of traffic controller hardware using fuzzy expert system algorithm for traffic light controlling purpose. The process uses the knowledge base of a fuzzy system - rule base and parameters. This knowledge based system aspect makes the design more simple and efficient, especially when compared with traditional trial and error methods. A functional fuzzy traffic controller (FTC), which utilises fuzzy logic algorithm to achieve a smart and a flexible knowledge-based system in hardware design while achieving better efficiency in the traffic control and minimizing traffic jam occurrences at interchange on road area. We describe a hardware platform for evolving system by using knowledge base of a fuzzy system. To develop the system, the behaviour level of FTC algorithm has developed using very high speed integrated circuit (VHSIC) hardware description language (VHDL) under MAX+PLUS II CAD environment. The finite state machine (FSM) of the FTC has been coded in VHDL program for controlling the specific traffic flow application. Later on, the FPGA express (synthesis tool) has used to get a fully gate level synthesis architecture for the whole Fuzzy based hardware chip. The designed codes of the FTC have downloaded onto the UP1 FPGA (field programmable gate array) educational board (Altera FLEX10K) for verifying the FTC hardware chip functionality. The performance of an expert fuzzy system based chip for controlling traffic light is evaluated