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Research Article

FPGA Implementation of Highway Accident Prevention Traffic Control System Using FSM

Banothu Bapuji1 Salivoju Laharika2 Nenavath Tharun3 Bommidi Sridhar4 Prahas Surabhi5

1 2 3 4 5 Department of ECE, Jawaharlal Nehru Technological University Hyderabad, Telangana, India.

Published Online: January-April 2024

Pages: 09-12

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Abstract

Road accidents on national highways and expressways at junctions can be dramatically reduced with an effective traffic control system. In this work, we propose a better traffic control system. The proposed method was designed using the Moore Model FSM in Verilog HDL. The performance of the design is evaluated using various FPGAs to develop a low-power, high-speed architecture.

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References

  • 1. L. F. P. Oliveira, L. T. Manera and P. D. G. Luz, "Smart Traffic Light Controller System," 2019 Sixth International Conference on Internet

  • of Things: Systems, Management and Security (IOTSMS), Granada, Spain, 2019, pp. 155-160, doi: 10.1109/IOTSMS48152.2019.8939239.

  • keywords: {Sensors;Internet of Things;Electronic circuits;Wireless sensor networks;Communication system security;Wireless

  • communication;Microcontrollers;Smart traffic light;smart city;smart mobility}

  • 2. David Beymer, Philip McLachlan, Benn Coifman, and Jitendra Malik, ―A real-time computer vision system for measuring traffic

  • parameters, ‖ IEEE Conf. on Computer Vision and Pattern Recognition, (1997).

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  • Transportation Research Part C, vol. 6, pp. 271-288, 1998.

  • 4. R. Cucchiara, C. Grana, M. Piccardi, A. Prati, and S. Sirotti, “Improving shadow suppression in moving object detection with HSV color

  • information,” in Proc. IEEE Int. Conf. Intell. Transport. Syst., Aug. 2001, pp. 334-339.

Citations

Banothu Bapuji, Salivoju Laharika, Nenavath Tharun, Bommidi Sridhar , Prahas Surabhi, “FPGA Implementation of Highway Accident Prevention Traffic Control System Using FSM”, Indian Journal of Electronics and Communication Engineering, Volume 01, Issue 02, May-August 2024, PP: 09-12.

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Licensing

© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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