Driver Identification Dataset
- Reid, Emma | Oak Ridge National Laboratory
- Powers, Sarah | Oak Ridge National Laboratory
- Gallegos, Erika | Colorado State University
- Daily, Jeremy | Colorado State University
- Biggs, Tyler | Colorado State University
- Lanigan, Trevor | Colorado State University
Overview
Description
The ORNL Driver Identification Dataset was created to collect and analyze driving behavior data from 50 different drivers. Each driver operated a 2014 Kenworth T270 Class 6 truck around Fort Collins, Colorado while various data sources recorded their driving behavior and vehicle performance. The dataset includes CANbus (Controller Area Network) data, GPS data, inertial measurement data, and biometric data from a heart rate monitor.
A cyberattack was executed during each drive, which caused multiple dashboard warning lights to illuminate and set the tachometer and speedometer to zero, regardless of actual speed. The attack was stopped either after one minute or if the driver pulled over.
Funding resources
DOE contract number
AC05-00OR22725Originating research organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Other contributing organizations
Colorado State UniversitySponsoring organization
Office of Science (SC)Details
DOI
10.13139/ORNLNCCS/2513388Release date
March 5, 2025Dataset
Dataset type
SM Specialized MixAcknowledgements
Users should acknowledge the OLCF in all publications and presentations that speak to work performed on OLCF resources:
This work was carried out [in part] at Oak Ridge National Laboratory, managed by UT-Battelle, LLC for the U.S. Department of Energy under contract DE-AC05-00OR22725.
Category
- 99 GENERAL AND MISCELLANEOUS
Keywords
- GPS,
- time series,
- biometrics,
- CANbus