Driving Behavior Dataset
Published: 2 April 2020| Version 2 | DOI: 10.17632/jj3tw8kj6h.2
Contributors:
Asim Sinan Yuksel, Description
Dataset for modeling risky driver behaviors based on accelerometer (X,Y,Z axis in meters per second squared (m/s2)) and gyroscope (X,Y, Z axis in degrees per second (°/s) ) data. Sampling Rate: Average 2 samples (rows) per second Cars: Ford Fiesta 1.4, Ford Fiesta 1.25, Hyundai i20 Drivers: 3 different drivers with the ages of 27, 28 and 37 Driver Behaviors: Sudden Acceleration (Class Label: 1), Sudden Right Turn (Class Label: 2), Sudden Left Turn (Class Label: 3), Sudden Break (Class Label: 4) Best Window Size: 14 seconds Sensor: MPU6050 Device: Raspberry Pi 3 Model B Please See Summary Table for summary of the collected data.
Files
Institutions
Suleyman Demirel Universitesi Muhendislik Fakultesi
Categories
Fuzzy Logic, Machine Learning, Risk Assessment, Risky Behavior, Reckless Driving