Intelligent Road Maintenance and Smart Infrastructure

AI-powered road surface inspection and autonomous repair systems for Jeju smart infrastructure

Introduction

The Intelligent Road Maintenance and Smart Infrastructure project represents a comprehensive initiative to develop AI-powered solutions for road surface inspection and autonomous repair systems, specifically designed for Jeju Island’s smart infrastructure needs.

Objective

Create an intelligent road maintenance system that combines edge AI, drone-based imaging, and reinforcement learning to provide real-time damage detection and predictive maintenance capabilities for sustainable infrastructure management.

Key Features

  • AI-Powered Road Surface Inspection: Automated detection of road damage using computer vision and machine learning
  • Autonomous Repair Systems: Development of robotic systems for automated road maintenance
  • Edge AI Integration: Implementation of edge computing for real-time processing and decision-making
  • Drone-Based Imaging: Utilization of aerial imaging for comprehensive road condition assessment
  • Reinforcement Learning: Application of RL algorithms for adaptive maintenance strategies

Technical Approach

  • Computer Vision: Advanced image processing for road surface analysis
  • Edge Computing: Real-time processing capabilities for immediate response
  • Drone Technology: Aerial imaging for comprehensive road condition monitoring
  • Reinforcement Learning: Adaptive algorithms for optimal maintenance scheduling
  • AI-PMS Development: Predictive Maintenance System for sustainable infrastructure management

Collaborations

  • Cheju Halla University: Lead research institution
  • Seoul National University: Technical expertise and research collaboration
  • KAIST: Advanced AI and robotics research
  • RovoRoad: Industry partnership for technology implementation
  • Local Government: Policy support and deployment coordination

Impact

  • Enhanced road safety through proactive maintenance
  • Reduced maintenance costs through predictive analytics
  • Improved infrastructure sustainability
  • Workforce training in AI-powered maintenance systems
  • Technology demonstration for smart city applications

Applications

  • Real-time traffic network data updates
  • Traffic flow simulation and optimization
  • AI-driven signal optimization strategies
  • Predictive maintenance for infrastructure assets