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Driver Behavior Dataset

This dataset collects smartphone sensor measurements recorded during driving events. Using an Android app, accelerometer, linear acceleration, magnetometer, and gyroscope data were captured. Experiments were conducted over four ~13‑minute car trips, recording seven driving event types such as aggressive braking, acceleration, turning, and lane changes. The data can be used for driver behavior profiling and related research.

Updated 4/17/2024
github

Description

Dataset Overview

Dataset Name

Driver Behavior Dataset

Dataset Description

The dataset gathers smartphone sensor measurements (accelerometer, linear acceleration, magnetometer, gyroscope) captured during predefined driving events using an Android application.

Experimental Setup

  • Vehicle: 2011 Honda Civic
  • Smartphone: Motorola XT1058, Android 5.1
  • Sensor sampling rate: 50–200 Hz
  • Drivers: 2 experienced drivers (≥15 years)
  • Weather & road: clear, dry asphalt

Data Collection Method

  • Smartphone fixed to the windshield, untouched during the drive.
  • Android app logs sensor data with millisecond timestamps.
  • One driver operates the vehicle while a rear‑seat assistant records video and cues the execution of specific events.

Driving Event Types

Event TypeSample Count
Aggressive Braking12
Aggressive Acceleration12
Aggressive Left Turn11
Aggressive Right Turn11
Aggressive Left Lane Change4
Aggressive Right Lane Change5
Non‑aggressive Event14
Total69

Dataset Structure

Each trip folder contains six files:

  • aceleracaoLinear_terra.csv
  • acelerometro_terra.csv
  • campoMagnetico_terra.csv
  • giroscopio_terra.csv
  • groundTruth.csv
  • viagem.json

groundTruth.csv holds start/end timestamps and event labels.

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Topics

Driving Behavior Analysis
Sensor Data

Source

Organization: github

Created: 2/15/2017

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