Amazon
Advancing Traffic Accident Data Analysis with LLMs
This project explored using large language models to turn traffic crash information from unstructured sources like police reports and narrative records into more organized data that was easier to analyze. The work aimed to assess whether these AI-generated outputs could be comparable to established structured databases while enabling analysis across diverse, underused data sources, and to clarify how AI could support transportation safety research through better data preparation and new perspectives on crash trends.
Faculty Adviser(s)
Yinhai Wang, Civil & Environmental Engineering
Related News
Mon, 07/06/2026 | College of Engineering
Elevating emerging engineers
The Industry Capstone Program partners UW Engineering students with sponsor organizations to devise innovation solutions to real-world problems.
Mon, 10/13/2025 | UW Mechanical Engineering
Capstone collaboration leads to award
An ME capstone team received first place for its energy audit of the UW School of Social Work building.
Mon, 07/07/2025 | UW Mechanical Engineering
Capstone creations
Students displayed innovative capstone design projects at the 2025 expo.
Fri, 09/20/2024 | UW Civil & Environmental Engineering
Smarter irrigation for a greener UW
A new project combines satellite data with ground sensors to conserve water and create a more sustainable campus environment.