IOT BASED SMART TRAFFIC MANAGEMENT AND ACCIDENT ALERT SYSTEM

Authors

  • Mohammed Irfan A.H, Pavish S, Shijas Mohammed K, Shanmuganathan M, Dr. A. Kalaivani, Dr. S. Menaka Author

Keywords:

IOT Project, Convolutional Neural Networks, Traffic management, Alert system

Abstract

The primary objective of this project is to design and implement an IoT-based system for smart traffic management and accident detection, aiming to enhance road safety, reduce traffic congestion, and provide timely accident alerts to both drivers and authorities. The system integrates sensors, communication networks, and cloud computing to optimize traffic flow. Traffic sensors and cameras placed at key intersections and on roadways monitor vehicle counts, speeds, and road conditions. Cameras equipped with image processing software detect accidents and abnormal traffic situations. Drivers receive real-time traffic and accident alerts through a mobile application, helping them avoid congested routes and accidents, improving driving efficiency and safety. A centralized control system aggregates and processes data from various sensors and devices, making it possible for authorities to monitor traffic conditions effectively        

Downloads

Published

2025-04-14

Issue

Section

Articles