Scholarlink

The project focuses on developing a density-based dynamic traffic signal system to address traffic congestion issues. This paper compares the conventional fixed-time signal system with the utilization of infrared (IR) sensors for detecting traffic density at intersections. The Arduino Controller processes sensor data to dynamically adjust green and red-light durations based on real-time traffic conditions. This intelligent traffic control system aims to optimize signal timings by allocating longer green times to lanes with higher traffic density. The proposed framework leverages technology to enhance traffic flow efficiency and mitigate congestion, providing a more adaptive and responsive solution for urban traffic management.

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An IoT Based Real Time Traffic Monitoring System

  • 章节

  • 发表日期：

    2025年

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  • Rama Devi Burri,
  • Satish Reddy Nalamalapu,
  • Musham Prashanthi,
  • Bussa Sathwik

摘要

The project focuses on developing a density-based dynamic traffic signal system to address traffic congestion issues. This paper compares the conventional fixed-time signal system with the utilization of infrared (IR) sensors for detecting traffic density at intersections. The Arduino Controller processes sensor data to dynamically adjust green and red-light durations based on real-time traffic conditions. This intelligent traffic control system aims to optimize signal timings by allocating longer green times to lanes with higher traffic density. The proposed framework leverages technology to enhance traffic flow efficiency and mitigate congestion, providing a more adaptive and responsive solution for urban traffic management.