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Real-Time Roadway Condition Monitoring System for Statewide Infrastructure Management
  1. case
  2. Real-Time Roadway Condition Monitoring System for Statewide Infrastructure Management

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Real-Time Roadway Condition Monitoring System for Statewide Infrastructure Management

intersog.com
Education
Government
Automotive

Inefficient Road Condition Monitoring

State transportation agencies face challenges in proactively identifying roadway defects (potholes, ice, wear) due to manual inspection processes, leading to delayed maintenance, increased costs, and safety risks - particularly in rural areas with limited monitoring infrastructure

About the Client

Leading research university collaborating with state transportation authorities to enhance roadway maintenance through IoT-enabled vehicle data collection

Project Goals

  • Develop real-time roadway condition monitoring application
  • Integrate vehicle sensor data with geographic information systems
  • Enable automated defect detection and reporting
  • Optimize maintenance resource allocation through data analytics
  • Establish scalable infrastructure for statewide deployment

Core System Capabilities

  • Real-time roadway quality monitoring via vehicle sensors
  • ABS system data integration for road condition analysis
  • GPS geolocation and route mapping
  • Offline data storage with automatic synchronization
  • Automated defect classification and alert system
  • Dashboard for maintenance prioritization analytics

Technology Stack

Java
IoT Sensor Integration
HTML/CSS
Relational Database

System Integrations

  • Vehicle Anti-lock Braking System (ABS)
  • State Department of Transportation GIS systems
  • Cloud data storage infrastructure
  • Mobile device location services

Operational Requirements

  • Scalable architecture for 1000+ vehicle fleet
  • 99.9% data transmission reliability
  • End-to-end data encryption
  • Sub-second response time for critical alerts
  • Cross-platform mobile compatibility

Expected Outcomes

Implementation will enable proactive roadway maintenance through real-time defect detection, reducing repair costs by 30-40%, improving road safety metrics, and optimizing state transportation budget allocation through data-driven decision making

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