Advanced Fuzzy Logic Model for Volume Based Traffic Signal Control

Bandan Kumar Bhoi^1, , Abhipsa Panda² and Sarthak Acharya²

¹Assistant Professor in Electronics and Telecommunication, VSSUT, Burla, Sambalpur, Odisha,India

²Student in Electronics and Telecommunication, VSSUT, Burla Sambalpur, Odisha, India

Cite this paper:
Bandan Kumar Bhoi, Abhipsa Panda and Sarthak Acharya. Advanced Fuzzy Logic Model for Volume Based Traffic Signal Control. Journal of Embedded Systems. 2013; 1(1):1-6. doi: 10.12691/jes-1-1-1

Abstract

This paper describes a functional Fuzzy Traffic Controller (FTC), which utilizes fuzzy logic algorithm to achieve a smart and 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. The designing part of FTC chip into verilog program eliminates the short comings of other custom facilities and conventional controller design available today. The Finite State Machine (FSM) of the FTC is coded in verilog for controlling the specific traffic flow application. The main features of FTC chip consist of various operational modes, safety features and capability through fuzzy logic algorithm.

Keywords:
Fuzzy Traffic Controller Finite State Machine fuzzy logic algorithm

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References:

[1]	IEEE journal numbered 1-4244-0549-1, titled “Design and Implementation of an Intelligent Fuzzy VLSI Chip for Traffic Control Application” of 2006.
[2]	Pitu Mirchandani, Larry Head. “RHODES Traffic Adaptive Control System,” Workshop on Adaptive Traffic Signal Control System, ATLAS Research Center, System and Industrial Engineering Department, The University of Arizona, 2001.
[3]	Nainar, M. Mohammadian, RJ Stonier, J.W.L. Millar. “An adaptive fuzzy logic controller for control of traffic signal,” Proceedings of Fourth International Conference on Control, Automation, Robotic and Vision, (ACARCV’96) Singapore, 1996.
[4]	Richard P. Zanardo. “Digital Traffic Signal Controller,” unpublished master’s thesis, Bradley University, Department of Electrical and Computing Engineering and Technology, 1999.
[5]	Ralf Niemann. “Hardware/Software Co-Design for Data Flow Dominated Embedded System,” University of Dortmund, Department of Computer Science XII, Germany, 1998.
[6]	Aleksandar Bobrek and Justin Britten. “FPGA Traffic Light Controller,” unpublished master’s thesis, Electrical & Computer Engineering, University of Tennessee, 2001.
[7]	Cheng, P.J Denning. “One-Lane Traffic Controller,” unpublished master’s thesis, George Mason University, 2001.
[8]	Caig Roberts, “Traffic Controller – Intersection Simulator Board,” unpublished master’s thesis, The Arizona Laboratory for Applied Transport Research, Northern Arizona University, 1998.
[9]	James Fernstrom, Thomas Wenisch. “Traffic Controller Design in PLA,” unpublished master’s thesis, University of Rhode Island, Kingston, 1998.