Bike&Safe Dataset
Description
This dataset is part of a paper: Blauth da Silva, Germano; Tavares, João (2022). Bike&Safe: A model to support cyclist accident prevention in smart cities. Abstract: A model to support cyclist accident prevention in smart cities. This dataset collects data from the accelerometer, gyroscope, magnetometer, and GPS sensors of the smartphone positioned on the handlebar of the bicycle. The coordinate system is defined relative to the screen of the phone in its default orientation. The axes are not swapped when the device's screen orientation changes. The X axis is horizontal and points to the right, the Y axis is vertical and points up and the Z axis points towards the outside of the front face of the screen. In this system, coordinates behind the screen have negative Z values. Dataset Information: 1. The dataset was recorded in three different routes. Each route goes from point A to point B, via roads. 2. Each scenario was recorded 3 times 3. The routes are informed below: First route: https://bit.ly/3NsJ3vx Second route: https://bit.ly/3DR3jUk Third route: https://bit.ly/3TXFlMU Number of samples: 12 Number of Instances: 811781 Data Set Characteristics: Sequential Data, Time Series Data, Multivariate Data, Correlation Area: Traffic Safety Attribute Characteristics: Integer, Double Number of Attributes: 5 Relevant Information: 1. The dataset collects data from an Android smartphone which is positioned on the handlebar of the bicycle. 2. The data sensors collected are accelerometer, gyroscope, magnetometer, and GPS. 3. The sampling frequency of the sensors is DELAY_FASTEST - 20 milliseconds for accelerometer, gyroscope and magnetometer. 4. Each recording generated four files: i. Accelerometer. ii. Gyroscope. iii. Magnetometer. iv. GPS. 5. The three first files contain the following information: Timestamp, Id, x axis, y axis, z axis. 6. GPS file contains the following information: Timestamp, Id, Latitude, Longitude, Sensor speed. 7. Data format: CSV