An Intelligent Human-Centric Communication System for Adverse Weather and Road Conditions

Adverse weather conditions present significant risks to motorists, making safe navigation challenging. Artificial Intelligence (AI) advancements have facilitated the development of intelligent systems to address these concerns. This project introduces CARWIS (Conversational AI for Road Weather Information Systems), an AI-powered solution that provides real-time data on road conditions during severe weather. CARWIS gathers data from various sources, including weather forecasts and traffic cameras, and employs natural language processing to generate timely and accurate insights into road conditions. CARWIS can detect hazardous conditions, such as icy roads or low visibility due to fog or precipitation, and refine its predictions over time, enabling drivers to make informed decisions on their travel plans, potentially reducing accidents and enhancing safety. Additionally, CARWIS can assist transportation professionals in planning and responding to severe weather events by providing detailed information on road conditions. This enables officials to prioritize resources and make well-informed decisions regarding road closures and safety measures. This innovative solution harnesses the power of AI to improve road safety and reduce incidents during adverse weather conditions. As AI technology continues to progress, it is anticipated that more advanced systems will be developed to assist in navigating and managing severe weather events on the roadways.


  • English


  • Status: Active
  • Funding: $187373
  • Sponsor Organizations:

    Iowa Department of Transportation

    800 Lincoln Way
    Ames, IA  United States  50010
  • Managing Organizations:

    Iowa State University, Ames

    Institute for Transportation
    2711 South Loop Drive, Suite 4700
    Ames, Iowa  United States  50010-8664
  • Project Managers:

    Greenfield Huitt, Tina

  • Performing Organizations:

    University of Iowa, Mechanical and Industrial Engineering

    3100 Seamans Center for the Engineering Arts and Sciences
    Iowa City, Iowa  United States  52242
  • Principal Investigators:

    Demir, Ibrahim

    Sermet, Yusuf

  • Start Date: 20230801
  • Expected Completion Date: 20250731
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01908405
  • Record Type: Research project
  • Source Agency: Iowa Department of Transportation
  • Files: RIP, STATEDOT
  • Created Date: Feb 19 2024 6:34PM