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Developing a Model for Assessment of Traffic Distraction

Received: 10 July 2018     Accepted: 20 July 2018     Published: 17 August 2018
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Abstract

The soundscape of an expressway in Zagreb was recorded and reproduced to two groups of listeners while they were performing a concentration demanding task – a simplified variation of the memory game. This expressway was chosen due to the high traffic frequency and on the other hand, due to the large number of residential buildings that are near the expressway. The focus of the research is whether the residents of a large city, in their daily life have adapted to this noise and how. We also wanted to investigate what is the main reason of their annoyance and distraction. Furthermore, we wanted to quantify human distraction with this typical urban soundscape by developing and then using the acoustic model for total distraction level.

Published in American Journal of Traffic and Transportation Engineering (Volume 3, Issue 3)
DOI 10.11648/j.ajtte.20180303.12
Page(s) 50-56
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Soundscape, Traffic Noise, Loudness, Distraction, Acoustic Model

References
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[3] B. Berglund and M. E. Nilsson; On a tool for measuring soundscape quality in urban residential areas, Acta Acustica united with Acustica, Vol. 92 (2006), p. 938-944
[4] E. Zwicker; Procedure for calculating loudness of temporally variable sounds, J. Acoust. Soc. Am. 62 (1977), p. 675–682
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[9] H. Fastl, S. Kerber, N. Guzsvány; Aspects of startling noises, Pro. of Euronoise 2009, Edinburgh (2009)
[10] J. Vos; The Loudness of Impulse and Road-Traffic Sounds in the Presence of Masking Background Noise, Acustica – Acta Acustica, Vol 84 (1998), p. 1119-1130
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[15] C. Semidor; Listening to a City With the Soundwalk Method, Acta Acustica united with Acustica, Vol. 92 (2006), p. 959-964
[16] J. Y. Jeon, P. J. Lee, J. You, J. Kang; Perceptual assessment of quality of urban soundscapes with combined noise sources and water sounds, J. Acoust. Soc. Am., Vol. 127 (2010), p. 1357-1366
[17] P. Newbold, W. L. Carlson, B. M. Thorne; Statistics for Business and Economics, Global Edition, Eight Edition (2013)
[18] G. Milas; Istraživačke metode u psihologiji i drugim društvenim znanostima (Research Methods in Psychology and other Social Sciences), Naklada Slap, (2009), p. 91-118, 153-216
[19] M. Mejovšek; Metode znanstvenog istraživanja u društvenim i humanističkim znanostima (Methods of Scientific Research in Social Sciences and Humanities), Naklada Slap, (2007), p. 71-158
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Cite This Article
  • APA Style

    Mia Suhanek, Ivan Djurek, Sanja Grubesa, Antonio Petosic. (2018). Developing a Model for Assessment of Traffic Distraction. American Journal of Traffic and Transportation Engineering, 3(3), 50-56. https://doi.org/10.11648/j.ajtte.20180303.12

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    ACS Style

    Mia Suhanek; Ivan Djurek; Sanja Grubesa; Antonio Petosic. Developing a Model for Assessment of Traffic Distraction. Am. J. Traffic Transp. Eng. 2018, 3(3), 50-56. doi: 10.11648/j.ajtte.20180303.12

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    AMA Style

    Mia Suhanek, Ivan Djurek, Sanja Grubesa, Antonio Petosic. Developing a Model for Assessment of Traffic Distraction. Am J Traffic Transp Eng. 2018;3(3):50-56. doi: 10.11648/j.ajtte.20180303.12

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  • @article{10.11648/j.ajtte.20180303.12,
      author = {Mia Suhanek and Ivan Djurek and Sanja Grubesa and Antonio Petosic},
      title = {Developing a Model for Assessment of Traffic Distraction},
      journal = {American Journal of Traffic and Transportation Engineering},
      volume = {3},
      number = {3},
      pages = {50-56},
      doi = {10.11648/j.ajtte.20180303.12},
      url = {https://doi.org/10.11648/j.ajtte.20180303.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20180303.12},
      abstract = {The soundscape of an expressway in Zagreb was recorded and reproduced to two groups of listeners while they were performing a concentration demanding task – a simplified variation of the memory game. This expressway was chosen due to the high traffic frequency and on the other hand, due to the large number of residential buildings that are near the expressway. The focus of the research is whether the residents of a large city, in their daily life have adapted to this noise and how. We also wanted to investigate what is the main reason of their annoyance and distraction. Furthermore, we wanted to quantify human distraction with this typical urban soundscape by developing and then using the acoustic model for total distraction level.},
     year = {2018}
    }
    

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    T1  - Developing a Model for Assessment of Traffic Distraction
    AU  - Mia Suhanek
    AU  - Ivan Djurek
    AU  - Sanja Grubesa
    AU  - Antonio Petosic
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    DO  - 10.11648/j.ajtte.20180303.12
    T2  - American Journal of Traffic and Transportation Engineering
    JF  - American Journal of Traffic and Transportation Engineering
    JO  - American Journal of Traffic and Transportation Engineering
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    EP  - 56
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ajtte.20180303.12
    AB  - The soundscape of an expressway in Zagreb was recorded and reproduced to two groups of listeners while they were performing a concentration demanding task – a simplified variation of the memory game. This expressway was chosen due to the high traffic frequency and on the other hand, due to the large number of residential buildings that are near the expressway. The focus of the research is whether the residents of a large city, in their daily life have adapted to this noise and how. We also wanted to investigate what is the main reason of their annoyance and distraction. Furthermore, we wanted to quantify human distraction with this typical urban soundscape by developing and then using the acoustic model for total distraction level.
    VL  - 3
    IS  - 3
    ER  - 

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Author Information
  • Department of Electroacoustics, Faculty of EE and Computing, University of Zagreb, Zagreb, Croatia

  • Department of Electroacoustics, Faculty of EE and Computing, University of Zagreb, Zagreb, Croatia

  • Department of Electroacoustics, Faculty of EE and Computing, University of Zagreb, Zagreb, Croatia

  • Department of Electroacoustics, Faculty of EE and Computing, University of Zagreb, Zagreb, Croatia

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