Driver Identification Dataset

Dataset · Wed Mar 05 04:00:00 EST 2025

DOI:https://doi.org/10.13139/ORNLNCCS/2513388· OSTI ID:2513388

Reid, Emma ^[1]; Powers, Sarah ^[1]; Gallegos, Erika ^[2]; Daily, Jeremy ^[2]; Biggs, Tyler ^[2]; Lanigan, Trevor ^[2]

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1. Oak Ridge National Laboratory
2. Colorado State University

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. By downloading the dataset, you agree to the following: 1) I will not use or disclose the data for any purpose other than Research as that term is defined in 10 CFR 745.102. 2) I will not, under any circumstances, request or accept private or linking identifiers for the data used. 3) I will not attempt to determine the identity of the individuals associated with the data. 4) I will use appropriate safeguards to prevent the use or disclose of the data for any purpose other than Research.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: Office of Science (SC)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 2513388
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
CANbus
GPS
biometrics
time series