Leveraging connected vehicle telematics for high-speed signalized intersection safety: A quantitative analysis of hard-braking events and crash occurrences

Abstract

This study utilizes connected vehicle (CV) data to capture vehicle hard braking at high-speed signalized intersections in Iowa. The temporal stability of eight-week period of CV data was obtained by comparing the correlation between hard braking and crashes, and it is worth noting that hard braking events occur more frequently at intersections near schools. At the same time, eight weeks of CV data are compared with crash data from previous years to provide the ability to predict crashes over the next year. These results demonstrate the predictive power of CV data for crashes and its important role in traffic safety, thereby helping to improve overall road safety.