DocumentCode :
2199980
Title :
Design and Implementation of an Intelligent Fuzzy VLSI Chip for Traffic Control Application
Author :
Islam, Md Shabiul ; Azim, Md Anwarul ; Bhuyan, M.S. ; Jahan, M. Saukat ; Siddiquei, H.R. ; Othman, Masuri
Author_Institution :
Fac. of Eng., Multimedia Univ.
fYear :
2006
fDate :
14-17 Nov. 2006
Firstpage :
1
Lastpage :
4
Abstract :
This paper describes a functional fuzzy traffic controller (FTC), which utilizes 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. To develop the system, the behavior level of FTC algorithm has developed using VHDL under MAX+PLUS II CAD environment. The designing part of FTC chip into VHDL program eliminates the shortcomings of other custom facilities and conventional controller design available today. The main goal is to overcome the bandwidth of existing systems. The finite state machine (FSM) of the FTC has 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 VLSI chip and then the optimization step has been applied for minimizing the VLSI chip´s timing delay, clock speed, and area to get the correctness of FTC design. The main features of the FTC chip consist of various operational modes, safety features, capability, and robustness enhancement through fuzzy logic algorithm presented in this paper
Keywords :
VLSI; field programmable gate arrays; finite state machines; fuzzy control; hardware description languages; knowledge based systems; road traffic; traffic control; FPGA express; FSM; FTC algorithm; MAX+PLUS II CAD environment; VHDL program; VLSI chip; field programmable gate array; finite state machine; fuzzy logic algorithm; fuzzy traffic controller; gate level synthesis architecture; knowledge-based system; optimization; very large scale integrated circuit; Algorithm design and analysis; Control system synthesis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Hardware; Knowledge based systems; Traffic control; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
Type :
conf
DOI :
10.1109/TENCON.2006.344102
Filename :
4142217
Link To Document :
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