UH Professor Uses Artificial Intelligence to Make Roads Safer
Study Helps Identify Roadway Segments Where Pavement or Roadway Conditions May Be Linked to Higher Crash Risk A University of Houston professor of civil and environmental engineering is using artificial intelligence, specifically large language models, to bring together roadway crash data. The Texas Department of Transportation funded research assesses pavement structure, surface condition, road geometry and crash records from police reports. Research results can help transportation agencies select candidates for pavement-safety projects by identifying pavement conditions associated with elevated crash risk. A University of Houston professor of civil and environmental engineering is using artificial intelligence to make roads safer by connecting information that is usually analyzed separately. In a study funded by the Texas Department of Transportation, Lu Gao used AI to analyze large-scale roadway condition data, including pavement structure, surface condition, roadway geome...