SamudraUduwaka / Adaptive-Traffic-Control-System

In response to chronic traffic congestion in urban areas of Sri Lanka, this project introduces an intelligent traffic management system. By harnessing real-time weather and traffic data, our solution dynamically adjusts traffic signal timings, thereby optimizing traffic flow and minimizing reliance on manual intervention by traffic police.

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Adaptive Traffic Control System

This project addresses the chronic traffic congestion problem in Sri Lanka's urban areas by developing an intelligent traffic management system. Our solution leverages real-time weather and traffic data to dynamically adjust traffic signal timings, optimizing traffic flow and reducing the need for manual intervention by traffic police.

Problem Definition

Traffic congestion in Sri Lanka results in delays, increased fuel consumption, and necessitates traffic police deployment at busy intersections. Traditional pre-programmed traffic light systems fail to adapt to real-time traffic and weather conditions, leading to inefficiencies and extended travel times. Our project aims to mitigate these issues through a smart, adaptive traffic light system.

Project Background

This project was developed as part of the SLIoT competition, where we aimed to revolutionize traffic management in Sri Lanka using cutting-edge technology. The competition provided a platform to innovate and create a real-world solution.

Proposed Solution

Components

  • IoT Sensors: Monitor traffic flow, detect vehicles, and assess environmental conditions.
  • Centralized Control System: Employs a sophisticated traffic control algorithm for real-time analysis and adaptation.
  • Smart Traffic Lights: Adjust dynamically based on real-time data from the control system.
  • Mobile App: Offers real-time traffic updates, alternative route suggestions, and a feedback mechanism for users.

Unique Features

  • Real-Time Adaptability
  • IoT Integration and Connectivity
  • Predictive Traffic Analysis with AI
  • Citizen Empowerment via Mobile App

Technical Overview and Implementation

Hardware

  • Development and deployment of traffic monitoring sensors.
  • Manufacturing of smart traffic lights with connectivity features.

Software

  • Control algorithm for efficient traffic management.
  • Machine learning models for predictive traffic analysis.
  • Centralized software system for data processing and communication.

Mobile App

  • Provides real-time traffic updates and alternative route suggestions.
  • Facilitates user feedback for continuous improvement.

Deployment

  • Phased implementation at selected intersections.
  • Collaboration with local authorities for necessary approvals and permits.

Usage

  • Real-Time Monitoring: Monitors traffic flow and environmental conditions in real-time.
  • Dynamic Traffic Control: Traffic lights adapt dynamically based on collected data.
  • Mobile App Features: Users receive real-time updates, alternative routes, and can report incidents.

Contact

For any clarification or inquiry, please contact:

About

In response to chronic traffic congestion in urban areas of Sri Lanka, this project introduces an intelligent traffic management system. By harnessing real-time weather and traffic data, our solution dynamically adjusts traffic signal timings, thereby optimizing traffic flow and minimizing reliance on manual intervention by traffic police.


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