DriveCam Inc., a global Driver Risk Management company, announced today that it has released RiskPredict, a new analytical process that eliminates irrelevant data and optimizes the duration and length of captured events. By focusing only on the riskiest driving behaviors, RiskPredict improves the user experience and reduces both time and cost for managing the program, the company says.
RiskPredict optimizes how DriveCam prevents risky driving behavior. By eliminating unnecessary (low or zero risk) events and identifying patterns of behavior, it helps enterprises make more accurate decisions about risky driving in their fleet. RiskPredict focuses on the captured events that are the highest predictors of risky driving behavior optimized to highlight the root cause and help forecast future events.
In addition to eliminating unnecessary events, RiskPredict optimizes the duration and length of captured events. Using rigorous statistical analysis and advanced analytical techniques, DriveCam scientists tested more than one million risky driving events to determine the optimum amount of time needed is 12 seconds to consistently identify risky patterns of behavior.
“Because this is a new science, the concept of ‘perfect clip length’ has never been tested before,” stated Bryon Cook, vice president, data analytics, DriveCam. “The goal of our research was to evaluate various combinations of time before and after the trigger to determine if there was a lift in performance by any particular combination, either longer or shorter than the baseline. Key factors, such as load impact and download time – both from the video event recorder and via the network to the client – were analyzed as well.”
By focusing on the captured events that are the highest predictors of risky driving behavior, RiskPredict turns today’s data into forecasts of future events. The impact of RiskPredict to users is:
For more information, visit www.drivecam.com.
