An Intelligent Vehicular Traffic Signal Control System with State Flow Chart Design and FPGA Prototyping. | [Mehran University Research Journal of Engineering and Technology • 2017]

Author(s):

1. Umair Saeed Solangi: Institute of Information & Communication Technologies, Mehran University of Engineering & Technology, Jamshoro,

2. Tayyab Din Memon: Institute of Information & Communication Technologies, Mehran University of Engineering & Technology, Jamshoro,

3. Abdul Sattar Noonari: Institute of Information & Communication Technologies, Mehran University of Engineering & Technology, Jamshoro,

4. Omair Ahmed Ansari: Institute of Information & Communication Technologies, Mehran University of Engineering & Technology, Jamshoro,

Abstract:

The problem of vehicular traffic congestion is a persistent constraint in the socio-economic development of Pakistan. This paper presents design and implementation of an intelligent traffic controller based on FPGA (Field Programmable Gate Array) to provide an efficient traffic management by optimizing functioning of traffic lights which will result in minimizing traffic congestion at intersections. The existent Traffic Signal system in Pakistan is fixed-time based and offers only Open Loop method for Traffic Control. The Intelligent Traffic Controller presented here uses feedback sensors to read the Traffic density present at a four way intersection to provide an efficient alternative for better supervisory Control of Traffic flow. The traffic density based control logic has been developed in a State Flow Chart for improved visualization of State Machine based operation, and implemented as a Subsystem in Simulink and transferred into VHDL (Hardware Description Language) code using HDL Coder for reducing development time and time to market, which are essential to capitalize Embedded Systems Market. The VHDL code is synthesized with Altera QUARTUS, simulated timing waveform is obtained to verify correctness of the algorithm for different Traffic Scenarios. For implementation purpose estimations were obtained for Cyclone-III and Stratix-III.

Page(s): 343-352

DOI: DOI not available

Published: Journal: Mehran University Research Journal of Engineering and Technology, Volume: 36, Issue: 2, Year: 2017

Keywords:

Keywords are not available for this article.

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