"Driving Behavior Dataset for Driver Identification and Anti-theft Analysis"

"This dataset contains real-world driving data collected from ten drivers operating a production vehicle along a fixed route between Korea University and Sangam World Cup Stadium. The data covers approximately 23 hours of driving over a round-trip distance of 46 km. Driving logs were recorded once per second and include 51 in-vehicle sensor measurements obtained through OBD-II. The dataset provides labeled driving traces for drivers A to J and supports research on driver identification, driving-style modeling, behavioral biometrics, and vehicle anti-theft analysis. It forms the basis of studies using mechanical, fuel-related, and behavioral features extracted from in-vehicle sensor data for machine-learning-based driver classification."