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Abstract
Problems related to determining traffic noise characteristics are discussed in the context of automatic dynamic noise analysis based on noise level measurements and traffic prediction models. The obtained analytical results provide the second goal of the study, namely automatic vehicle counting and classification. Several traffic prediction models are presented and compared to the results of in-situ noise level measurements. Synchronized audio recordings were made to determine Sound Quality parameters describing the nature of acquired sound signals. Video recordings and information about the traffic structure using commercially available automatic vehicle detection methods were also collected in order to create ground truth data used for the experiments.
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Published in:
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Communications in Computer and Information Science
no. 785,
edition MCSS 2017,
pages 110 - 123,
ISSN: 1865-0929 - Title of issue:
- Multimedia Communications, Services and Security: 9th International Conference, MCSS 2017 strony 110 - 123
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Marciniuk K., Kostek B., Czyżewski A.: Traffic Noise Analysis Applied to Automatic Vehicle Counting and Classification// Multimedia Communications, Services and Security/ : Springer, 2017, s.110-123
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-69911-0_9
- Verified by:
- Gdańsk University of Technology
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