S-BLE: A Participatory BLE Sensory Data Set Recorded from Real-World Bus Travel Events

TL;DR

This paper introduces S-BLE, a comprehensive BLE-based data set collected from smartphones and beacons during real-world bus trips, aimed at improving public transit sensor systems.

Contribution

It presents a new real-world BLE data set from public transit, including sensor data and collection methodology, to support robust transit system development.

Findings

Data set includes 28 participants' transit routines.

Contains BLE RSSI, GPS odometry, and inertial sensor data.

Provides statistical analysis of recorded data.

Abstract

This contribution describes S-BLE, a data set created for supporting the design of robust and reliable Be-In-Be-Out systems in public transit. S-BLE was recorded by the smartphones of 28 participants during their daily transit routines in a university campus setting. 20 shuttle bus vehicles in the campus fleet were equipped with two Bluetooth low energy (BLE) beacons each. RSSI data from these beacons was recorded during regular rides, along with odometry information (from GPS) and data from the smartphone's inertial sensors. The article describes the system used for data collection and presents some statistics of interest for the recorded data.