Class
Article
College
College of Engineering
Department
Civil and Environmental Engineering Department
Faculty Mentor
Patrick Singleton
Presentation Type
Poster Presentation
Abstract
This project aims to improve intersection safety in Utah by developing geographically-targeted crash prediction models. The lack of research investigating active mode crashes at signalized intersections in different geographical regions calls for this study. The objective of this research is to understand the factors associated with the frequency of active mode crashes at signalized intersections. Exposure variables such as AADT, pedestrian and bicycle volumes, and intersection-level variables such as crossing distance, speed limit, and presence of street lights were analyzed using a negative binomial regression model.
Location
Logan, UT
Start Date
4-12-2023 2:30 PM
End Date
4-12-2023 3:30 PM
Included in
Improving Intersection Safety With Geographically-Targeted Crash Prediction Models in Utah
Logan, UT
This project aims to improve intersection safety in Utah by developing geographically-targeted crash prediction models. The lack of research investigating active mode crashes at signalized intersections in different geographical regions calls for this study. The objective of this research is to understand the factors associated with the frequency of active mode crashes at signalized intersections. Exposure variables such as AADT, pedestrian and bicycle volumes, and intersection-level variables such as crossing distance, speed limit, and presence of street lights were analyzed using a negative binomial regression model.