IR Based Traffic Light System

Authors

  • B. Murlidhar Naick  Department of Electronics and Communication Engineering Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • U. Rupa Sree  Department of Electronics and Communication Engineering Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • R. Srivani  Department of Electronics and Communication Engineering Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • N. Gouthami  Department of Electronics and Communication Engineering Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • S. Afreen Fathima  Department of Electronics and Communication Engineering Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India

Keywords:

Smart Traffic Light Control System, Traffic Congestion.

Abstract

Conventional traffic light system is based on fixed-time concept allotted to each side of the junction, which cannot be varied as per varying -traffic density. Junction timings allotted are fixed. Sometimes higher-traffic density at one side of the junction demands longer green time as compared to the standard allotted time. The proposed system using Arduino family duly interfaced with sensors changes the junction timing automatically to accommodate movement of vehicles smoothly avoiding unnecessary waiting time at the junction. The sensors used in this project are IR and photodiodes which are in line of sight configuration across the road to detect the density at the traffic signal while interrupted. The density of the vehicles is measured in three zones: lo w, medium, high based on which timings are allotted accordingly.

References

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Published

2022-06-30

Issue

Section

Research Articles

How to Cite

[1]
B. Murlidhar Naick, U. Rupa Sree, R. Srivani, N. Gouthami, S. Afreen Fathima, " IR Based Traffic Light System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.306-310, May-June-2022.