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

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 volume › Conference contribution › Scientific › peer-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 language	English
Title of host publication	Proceedings of the 12th International Symposium on Tools and Methods of Competitive Engineering (TMCE 2018)
Editors	Imre Horváth, José Pablo Suárez
Publisher	Delft University of Technology
Pages	417-422
ISBN (Print)	978-94-6186-910-4
Publication status	Published - 2018
Event	TMCE 2018: 12th International Symposium on Tools and Methods of Competitive Engineering - Las Palmas, Spain Duration: 7 May 2018 → 11 May 2018

Conference

Conference	TMCE 2018: 12th International Symposium on Tools and Methods of Competitive Engineering
Country/Territory	Spain
City	Las Palmas
Period	7/05/18 → 11/05/18

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

traffic
microphone
smartphone
sound analysis
sound processing

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Auditory datasetFinal published version, 829 KB

An auditory dataset of passing vehicles recorded with a smartphone
Bazilinskyy, P. (Creator), van der Aa, A. (Creator), Schoustra, M. (Creator), Spruit, J. (Creator), Staats, L. (Creator), van der Vlist, K. J. (Creator) & de Winter, J. C. F. (Creator), TU Delft - 4TU.ResearchData, 2018
DOI: 10.4121/UUID:BEF54AB8-73EF-42F3-B6B7-54E011737E72
Dataset/Software: Dataset
An auditory dataset of passing vehicles recorded with a smartphone
Bazilinskyy, P. (Creator), van der Aa, A. M. (Creator), Schoustra, M. (Creator), Spruit, J. (Creator), Staats, L. (Creator), van der Vlist, K. J. (Creator) & de Winter, J. C. F. (Creator), TU Delft - 4TU.ResearchData, 3 May 2022
DOI: 10.4121/12714215
Dataset/Software: Dataset

Cite this

Bazilinskyy, P., van der Aa, A., Schoustra, M., Spruit, J., Staats, L., van der Vlist, K. J., & de Winter, J. (2018). An auditory dataset of passing vehicles recorded with a smartphone. In I. Horváth, & J. P. Suárez (Eds.), Proceedings of the 12th International Symposium on Tools and Methods of Competitive Engineering (TMCE 2018) (pp. 417-422). Delft University of Technology.

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title = "An auditory dataset of passing vehicles recorded with a smartphone",

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",

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note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; TMCE 2018: 12th International Symposium on Tools and Methods of Competitive Engineering ; Conference date: 07-05-2018 Through 11-05-2018",

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Bazilinskyy, P, van der Aa, A, Schoustra, M, Spruit, J, Staats, L, van der Vlist, KJ & de Winter, J 2018, An auditory dataset of passing vehicles recorded with a smartphone. in I Horváth & JP Suárez (eds), Proceedings of the 12th International Symposium on Tools and Methods of Competitive Engineering (TMCE 2018). Delft University of Technology, pp. 417-422, TMCE 2018: 12th International Symposium on Tools and Methods of Competitive Engineering, Las Palmas, Spain, 7/05/18.

An auditory dataset of passing vehicles recorded with a smartphone. / Bazilinskyy, Pavlo; van der Aa, Arne; Schoustra, Michael et al.

Proceedings of the 12th International Symposium on Tools and Methods of Competitive Engineering (TMCE 2018). ed. / Imre Horváth; José Pablo Suárez. Delft University of Technology, 2018. p. 417-422.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - An auditory dataset of passing vehicles recorded with a smartphone

AU - Bazilinskyy, Pavlo

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AU - Schoustra, Michael

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AU - Staats, Laurens

AU - van der Vlist, Klaas Jan

AU - de Winter, Joost

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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N2 - 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

AB - 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

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KW - microphone

KW - smartphone

KW - sound analysis

KW - sound processing

M3 - Conference contribution

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EP - 422

BT - Proceedings of the 12th International Symposium on Tools and Methods of Competitive Engineering (TMCE 2018)

A2 - Horváth, Imre

A2 - Suárez, José Pablo

PB - Delft University of Technology

T2 - TMCE 2018: 12th International Symposium on Tools and Methods of Competitive Engineering

Y2 - 7 May 2018 through 11 May 2018

ER -

An auditory dataset of passing vehicles recorded with a smartphone

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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