Smart Traffic Control Approach For Emergency Vehicles

Authors

  • Dr Rashmi Patil Assistant Professor, Department of Artificial intelligence and Machine Learning, Godutai Engineering College Exclusive for Womens, Kalaburagi, India.
  • Danishta Fatima Students, Department of Artificial intelligence and Machine Learning, Godutai Engineering College Exclusive for Womens, Kalaburagi, India.
  • Alveera Aima Khanam Students, Department of Artificial intelligence and Machine Learning, Godutai Engineering College Exclusive for Womens, Kalaburagi, India.
  • Disha Chenna Students, Department of Artificial intelligence and Machine Learning, Godutai Engineering College Exclusive for Womens, Kalaburagi, India.
  • Sadiya Fatima Students, Department of Artificial intelligence and Machine Learning, Godutai Engineering College Exclusive for Womens, Kalaburagi, India.

DOI:

https://doi.org/10.61808/jsrt255

Keywords:

Traffic Control, Arduino, Traffic Congestion

Abstract

Traffic congestion problem is a phenomenon which contributed huge impact to the transportation system in our country. This causes many problems especially when there are emergency cases at traffic light intersections which are always busy with many vehicles. A traffic light assistance system is designed in order to solve these problems. This system was designed to be operated when it received signal from emergency vehicles based on radio frequency (RF) transmission and used the Programmable Arduino Atmega 328 microcontroller to controls the LEDs used in the traffic signals. The use of hazard LED in the system which helps the emergency vehicles to pass the traffic easily. This system will reduce accidents which often happen at the traffic light intersections because of another vehicle had to huddle for given a special route to emergency vehicle. As the result, this project successful analyzing and implementing the traffic assistance system for emergency vehicles.

Published

01-07-2025

How to Cite

Dr Rashmi Patil, Danishta Fatima, Alveera Aima Khanam, Disha Chenna, & Sadiya Fatima. (2025). Smart Traffic Control Approach For Emergency Vehicles. Journal of Scientific Research and Technology, 3(7), 42–50. https://doi.org/10.61808/jsrt255

Issue

Section

Articles