Volume 3, Issue 3, May 2018, Page: 50-56
Developing a Model for Assessment of Traffic Distraction
Mia Suhanek, Department of Electroacoustics, Faculty of EE and Computing, University of Zagreb, Zagreb, Croatia
Ivan Djurek, Department of Electroacoustics, Faculty of EE and Computing, University of Zagreb, Zagreb, Croatia
Sanja Grubesa, Department of Electroacoustics, Faculty of EE and Computing, University of Zagreb, Zagreb, Croatia
Antonio Petosic, Department of Electroacoustics, Faculty of EE and Computing, University of Zagreb, Zagreb, Croatia
Received: Jul. 10, 2018;       Accepted: Jul. 20, 2018;       Published: Aug. 17, 2018
DOI: 10.11648/j.ajtte.20180303.12      View  575      Downloads  80
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.
Keywords
Soundscape, Traffic Noise, Loudness, Distraction, Acoustic Model
To cite this article
Mia Suhanek, Ivan Djurek, Sanja Grubesa, Antonio Petosic, Developing a Model for Assessment of Traffic Distraction, American Journal of Traffic and Transportation Engineering. Vol. 3, No. 3, 2018, pp. 50-56. doi: 10.11648/j.ajtte.20180303.12
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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