The article examines real crash data from naturalistic driving to understand factors leading to vehicle crashes involving fleet drivers. The researchers analyzed hundreds of actual crashes to identify behaviors and factors before collisions, such as distractions and drowsiness. They looked at road conditions, critical events, driver behaviors, response times, and eyes-off-road time to determine differences between crash types. The study aimed to detect drowsy driving using crash data, providing valuable insights not found in police reports.