Project Details
TPF-5(435)
08/01/23
07/31/25
Federal Highway Administration Aurora Program Transportation Pooled Fund (TPF-5(435))
Researchers
Ibrahim Demir
ibrahim-demir@uiowa.edu email >Associate Professor, University of Iowa
Yusuf Sermet
msermet@uiowa.edu email >Research Scientist, University of Iowa
About the research
Adverse weather conditions present significant risks to motorists, making safe navigation challenging. 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.