Driver Crash Risk Factors and Prevalence Evaluation Using Naturalistic Driving Data
The Proceedings of the National Academy of Sciences has published a paper that evaluates the riskiest factors faced by drivers based on data collected by TRB's second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study (NDS). According to the paper, many secondary tasks or activities, particularly resulting from the use of handheld electronic devices, are of detriment to driver safety.
The paper focuses on and addresses categories of driver performance and behavior that contribute to crash events, including: observable impairment; driver performance error; momentary driver judgment error; and observable driver distraction, including the use of in-vehicle and handheld devices, active interaction with passengers, and outside distractions.
The accurate evaluation of crash causal factors can provide fundamental information for effective transportation policy, vehicle design, and driver education. Naturalistic driving data collected with multiple onboard video cameras and sensors provide a unique opportunity to evaluate risk factors during the seconds leading up to a crash.
The NDS crash database is the largest of its kind, capturing more than 35 million miles of continuous naturalistic driving data and 2 petabytes of video, kinematic, and audio data from more than 3,500 participants.
This Summary Last Modified On: 3/2/2016