The ORNL Naturalistic Driving Study Sample (ONDSS) is a dataset created by Oak Ridge National Laboratory to help evaluate algorithms used in an analysis of automobile driver behavior. The sample was developed as part of the U.S. Department of Transportation’s Federal Highway Administration research efforts seeking to understand the role of driver performance and behavior on traffic safety.
ONDSS is designed to emulate aspects of the Second Strategic Highway Research Project’s (SHRP2) Naturalistic Driving Study (NDS). The NDS study collected data from more than 3,000 drivers in personal vehicles between 2010 and 2013, which were then analyzed using algorithms to assess how drivers interact with and adapt to their vehicle, traffic environment, roadway conditions, and traffic control devices, including assessment of collision risk.
ONDSS utilized a SHRP2 data acquisition system borrowed from Virginia Tech Transportation Institute. The data set includes simulations of drivers in various prescribed motions and poses that might be seen during vehicle operation, such as head poses, hand positions, removing or putting on a seat belt, use of a cell phone, and other distractions such as adjusting vehicle controls, dancing and eating. The activities were performed in a parked vehicle with head poses and other motions captured by sensors and video. A brief driving sequence is also recorded for each driver. Some activities also used a 3-axis accelerometer worn by the driver to record head pose.
The data collection was supported by the Exploratory Advanced Research Program of the Federal Highway Administration, with assistance from the Virginia Tech Transportation Institute.