Abstract
Hard braking and hard acceleration data has been demonstrated as an important emerging data source that provides quicker feedback than crash data. In fact, a strong correlation between hard braking on the interstate and crash rates has been reported in previous studies. A previous study has shown that there are approximately 147 hard braking events in a work zone for every crash. However, there have been subtle changes in acceleration thresholds as well as techniques automotive companies and third-party vendors use to compute hard braking. The motivation of this study is to define scalable and sustainable procedures for obtaining consistent hard braking data. That data can then be used to develop a statewide system for longitudinal monitoring of hard braking trends to assist in identifying and prioritizing roadways for more detailed safety studies.
This study developed 0.1-mile “smart polygons” (linear-referenced geofencing features) that provide a directional base map for the entire system of Interstates, U.S. routes and state routes across the state of Indiana. Approximately 100 billion connected vehicle records were analyzed to derive hard braking statistics for the smart polygons.
Keywords
connected vehicle data, hard braking, hard acceleration, network screening, big data
Report Number
FHWA/IN/JTRP-2025/30
SPR Number
4928
Sponsoring Organization
Indiana Department of Transportation
Performing Organization
Joint Transportation Research Program
Publisher Place
West Lafayette, Indiana
Date of Version
2025
DOI
10.5703/1288284318579
Recommended Citation
Sakhare, R. S., Desai, J., Gartner, C., Mukai, J., Sturdevant, N., Shellhamer, N., Ruble, T., McCoy, D., & Bullock, D. M. (2025). Connected vehicle trajectory data to screen network for hard-braking and hard-acceleration events (Joint Transportation Research Program Publication No. FHWA/IN/JTRP-2025/30). West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284318579
SPR-4928 Technical Summary