Traffic Signal Optimization and Flow Control using Fuzzy Logic

Authors

  • Kumthekar Y Dr. D. Y. Patil, School of Engineering, Charholi(Bk), Lohegaon, Pune. India -
  • Patil AN Dr. D. Y. Patil, School of Engineering, Charholi(Bk), Lohegaon, Pune. India -
  • Notani Y Dr. D. Y. Patil, School of Engineering, Charholi(Bk), Lohegaon, Pune. India -
  • Fating J Dr. D. Y. Patil, School of Engineering, Charholi(Bk), Lohegaon, Pune. India -
  • Das S PhD, Computer Engineering, Sathyabama University, Solingallur, Chennai. India –

Keywords:

Arduino Mega 2560 microcontroller, Embedded software, Fuzzy logic, Fuzzy control, Ultrasonic transducers, Zigbee

Abstract

This study proposes an intelligent traffic light system that would be capable of adjusting the traffic light based on density of traffic at a particular time. Fuzzy logic could be used to manage the flow of vehicles at traffic signals and ensure efficient flow of vehicles, reducing traffic congestions at peak time. This could be done by analyzing traffic density by analyzing inputs via sensor that could be fitted at signals. This will then be used by microcontroller to set the green signal for varying intervals of time so as to clear the traffic at signals as efficiently as possible. This approach could be implemented to dynamically manage the traffic signal and would prove efficient to help reduce the day to day traffic congestion problems. This study mainly aims to overcome this problem.

References

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Bilal Ahmed Khan, Nai hyan Lai, “An Intelligent Traffic Controller Based on Fuzzy Logic” in AsiaPacific University of Technology and Innovation, ISBN: 978-0-9853483-8-0 ©2013 SDIWC, 1996.

Ms. Promila Sinhmar, Rawal Institute of Engineering And Technology Zakopur “Intelligent Traffic Light And Density Control Using IR Sensors And Microcontroller” in International Journal of Advanced Technology & Engineering Research (IJATER), ISSN NO: 2250-3536, 2012.

Monish Puthran, Sangeet Puthur, and Radhika Dharulkar “Smart Traffic Signal” in (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (2), 2015, 1360-1363, 2015.

Ashwini Basavaraju, Senhalata Doddigarla, Navitha Naidu, Shruti Malgatti “Vehicle density sensor system to manage traffic” in IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308, 2014.

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Published

2025-11-11

How to Cite

[1]
Y. Kumthekar, A. N. Patil, Y. Notani, J. Fating, and S. Das, “Traffic Signal Optimization and Flow Control using Fuzzy Logic”, Int. J. Comp. Sci. Eng., vol. 4, no. 5, pp. 153–156, Nov. 2025.

Issue

Vol. 4 No. 5 (2016): IJCSE May Edition

Section

Survey Article

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