An auditory dataset of passing vehicles recorded with a smartphone

Pavlo Bazilinskyy, Arne van der Aa, Michael Schoustra, John Spruit, Laurens Staats, Klaas Jan van der Vlist, Joost de Winter

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.

Link to 4TU.Centre for Research Data: https://doi.org/10.4121/uuid:bef54ab8-73ef-42f3-b6b7-54e011737e72
Original languageEnglish
Title of host publicationProceedings of the 12th International Symposium on Tools and Methods of Competitive Engineering (TMCE 2018)
EditorsImre Horváth, José Pablo Suárez
PublisherDelft University of Technology
Pages417-422
ISBN (Print)978-94-6186-910-4
Publication statusPublished - 2018
EventTMCE 2018: 12th International Symposium on Tools and Methods of Competitive Engineering - Las Palmas, Spain
Duration: 7 May 201811 May 2018

Conference

ConferenceTMCE 2018: 12th International Symposium on Tools and Methods of Competitive Engineering
CountrySpain
CityLas Palmas
Period7/05/1811/05/18

Keywords

  • traffic
  • microphone
  • smartphone
  • sound analysis
  • sound processing

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