Predicting and Preventing Traffic Casualties
New York University’s Tandon School of Engineering C2SMART Center (NYU) and Zendrive partnered to compare driver behavior data collected by Zendrive to collision data available on NYC Open Data, reported by the New York City Police Department (NYPD). In a preliminary analysis of these geolocated data, NYU researchers found a 71-percent correlation between the risky driver behavior data collected by Zendrive and actual traffic collisions.
Click below to download the New York City Driver Behavior Data Study.
NYC Driver Behavior Study PDF
Download the study to read more about:
- How researchers are starting to work with driver behavior data on a massive scale to improve traffic safety and achieve Vision Zero
- Initial findings from comparisons of driver behavior data and NYPD collision data
- Analytical strategies that can help officials deploy targeted interventions to preempt dangerous driving and prevent crashes
- How to strengthen future research on this topic