Density Based Traffic Light Control



EOI: 10.11242/viva-tech.01.05.012

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Citation

Akshay Chauhan, Harshal Gupta, Rohan Sawant, Prof. Bhushan Save, "Density Based Traffic Light Control", VIVA-IJRI Volume 1, Issue 5, Article 12, pp. 1-6, 2022. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

The project is aimed at designing a density based dynamic traffic signal system where the timing of signal will change automatically on sensing the traffic density at any junction. Traffic congestion is a severe problem in most cities across the world and therefore it is time to shift more manual mode or fixed timer mode to an automated system with decision making capabilities. Present day traffic signalling system is fixed time based which may render inefficient if one lane is operational than the others. To optimize this problem, we have made a framework for an intelligent traffic control system. Sometimes higher traffic density at one side of the junction demands longer green time as compared to standard allotted time. We therefore propose here a mechanism in which the time period of green light and red light is assigned based on the density of the traffic present at that time. This is achieved by using IR (proximity Infrared sensors).

Keywords

Arduino, Density, IR Sensor, Signal Lights, Traffic.

References

  1. Sai Surya Prakash Moka, Sai Manikanta Pilla, “Real Time Density Based Traffic Surveillance System Integrated with Acoustic Based Emergency Vehicle Detection”, IEEE 2020.
  2. Deemnath K P, Mohammed Waleed, “Density Based Traffic Signal System Using Loadcells and IR Sensors”, IRJMETS 2020.
  3. P. Pujithsai, O. Gautham, “Density Controlled Traffic Lights System Using Arduino Mega 2560”, IJITEE 2020.
  4. Prof. Ms. N. C. Band, M.V. Virulkar, “Density Based Traffic Light Control System”, IRJET 2020.
  5. M. Naveen, S. Raghvendra, “Density based traffic signal control using Arduino and IR Sensors”, IJEE 2019.
  6. Mohammed Fayaz, Pooja K, “Density Based Light Control System with Ambulance Detection”, IJERT 2019.
  7. Akshat Shukla, Abhijeet Anand, “Density Based Light Control System Using Microcontroller”, IJARSE 2018.
  8. D. Prakash, B. Sandhya, “Density Based Traffic Light Control System Using Image Processing”, IJAREEIE 2017.
  9. M. A.A. Parkhi, Mr. A.A. Peshattiwar, Mr. K.G. Pande “Intelligent Traffic System Using Vehicle Density”. Yeshwantrao Chavan College of Engg., Nagpur. “International Journal of Electrical and Electronic Engineers, 2016”.
  10. Prathmesh Nikam and Rohit Patil, "Density-Based Traffic Control Signal ", International Journal of Electrical and Electronics Research, Vol.4, Issue 3, ISSN 2348-6988.
  11. G. Kavya and B. Saranya, "Density based intelligent traffic signal system using PIC microcontroller", International journal of research in applied science & engineering technology (IJRASET), vol. 3, no. 1, pp. 205-209, Jan 2015
  12. Nang Hom Kham, Chaw Myat New “Implementation of Modern Traffic Light Control System”. Department of Electronic Engineering, Mandalay Technological University, Myanmar. International Journal of Scientific and Research Publications, June 2014.