An auditory dataset of passing vehicles recorded with a smartphone

Bazilinskyy, P., Van der Aa, A., Schoustra, M., Spruit, J., Staats, L., Van der Vlist, K. J., De Winter, J. C. F.

Proceedings of Tools and Methods of Competitive Engineering (TMCE). Las Palmas de Gran Canaria, Spain (2018)

ABSTRACT The increase of smartphones over the past decade has contributed to distraction in traffic. However, smartphones could potentially be turned into an advantage by being able to detect whether a motorized vehicle is passing the smartphone user (e.g., a pedestrian or cyclist). Herein, we present a dataset of audio recordings of passing vehicles, made with a smartphone. Recordings were made of a passing passenger car and a scooter in various conditions (windy weather vs. calm weather, approaching from the front vs. from behind, 1 m, 2 m, and 3 m distance between smartphone and vehicle, vehicle driving with 30 vs. 50 km/h, and smartphone being stationary vs. moving with the cyclist). Data from an 8-microphone array, video recordings, and GPS data of vehicle position and speed are provided as well. Our present dataset may prove useful in the development of mobile apps that detect a passing motorized vehicle, or for transportation research.