Volume 4 Number 3 (Jun. 2012)
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IJCEE 2012 Vol.4(3): 400-403 ISSN: 1793-8163 DOI: 10.7763/IJCEE.2012.V4.521

A Verilog Model of Adaptable Traffic Control System Using Mealy State Machines

M. Ali Qureshi, Abdul Aziz, and S. Hammad Raza
Abstract—In this paper an efficient traffic control system is designed using Mealy finite state machines. The effects of state encoding schemes like sequential encoding, gray encoding and One-Hot encoding are compared on the basis of size of synthesized circuit. Coding of the design is done in Verilog HDL and the design is tested and simulated on Spartan-3 xc3s400 FPGA development kit. The sensors are added as input to the controller for emergency conditions like ambulance etc. This system is also capable to change the timings of traffic signals according to the density of vehicles on the roads. The design has several benefits over ordinary traffic light controllers built with microcontrollers or Programmable logic controller such as simple structure, high reliability, low costs, ease in installation and maintenance. The design of adaptable traffic control system is carried out for a chowk consisting of five roads. Each road is divided into main road (for straight movement) and cross road (for crossing). To some extent, traffic jam, unreasonably latency time of stoppage of vehicles, emergency vehicles like ambulances, VIP movement or forcibly passing is solved. So, this system carries a broader application prospect.

Index Terms—FPGA, DSP, FSM, HDL, Xilinx, ASIC, LUT

M. A. Qureshi and A. Aziz Qureshi are with Islamia University of Bahawalpur, Pakistan (e-mail: ali.qureshi@ iub.edu.pk, abdul.aziz@ iub.edu.pk).

Cite: M. Ali Qureshi, Abdul Aziz, and S. Hammad Raza, "A Verilog Model of Adaptable Traffic Control System Using Mealy State Machines," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 400-403, 2012.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: INSPEC, Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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