Abstract

One of the most difficult and expensive tasks in making noise pollution maps is the collection and processing of the data needed to create acoustic models. In the case of road traffic noise maps, obtaining speed data for light and heavy vehicles a problem that has usually been avoided by using a road's speed limit or by making assumptions based on experience from similar road types. Here global positioning systems-based techniques are applied for acquiring vehicle speed data and adapted to fulfill the requirements of noise prediction models. © 2009 Elsevier Ltd. All rights reserved.


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https://api.elsevier.com/content/article/PII:S1361920909000388?httpAccept=text/plain,
http://dx.doi.org/10.1016/j.trd.2009.03.008 under the license https://www.elsevier.com/tdm/userlicense/1.0/
https://trid.trb.org/view/892196,
https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F9c231862-57c2-47a6-b561-a442a0bbf731,
https://core.ac.uk/display/158738333,
https://www.researchgate.net/profile/Miguel_Ausejo2/publication/204395450_GPS-based_speed_collection_method_for_road_traffic_noise_mapping/links/0c96051b1972f072d0000000.pdf,
https://academic.microsoft.com/#/detail/2026062094
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Document information

Published on 01/01/2009

Volume 2009, 2009
DOI: 10.1016/j.trd.2009.03.008
Licence: Other

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