Fleet managers dedicated to minimizing accidents among their drivers have several options for assessing and managing risk. Until now, that has primarily involved tracking and responding to recent driver history. But an ongoing study of a new approach employing predictive analytics methodology is showing promise for more accurate and effective fleet driver risk assessment.
Added to existing best practices, predictive analytics has the potential to achieve even greater rates of fleet accident reduction than prevailing methods. Understanding that potential is perhaps best achieved by comparing historical driver risk assessment practices and success rates to the broader opportunities gained by being able to identify new high-risk drivers not yet recognized by existing methodologies.