Title
Model based monitoring of traffic noise in an urban district
Author
van der Eerden, F.
Graafland, F.
Wessels, P.
Segers, A.
Salomons, E.
Contributor
Davy, J. (editor)
Burgess, M. (editor)
Don, C. (editor)
Dowsett, L. (editor)
McMinn, T. (editor)
Broner, N. (editor)
Publication year
2014
Abstract
Noise control for an urban district starts by understanding the actual noise situation. A correct understanding is needed to take appropriate and cost efficient measures. For a noise burdened urban district, surrounded by road and rail traffic, the traffic noise as well as the annoyance has been measured. The size of the district is approximately one square km. With the help of 35 microphones, applied in a scalable sensor network, the time-varying sound levels were recorded. These results were coupled to an engineering model to obtain the sound levels for the complete district as well as to discriminate between road and rail traffic noise. Also, a data assimilation technique has been applied to increase the agreement between the measurement and model results. For example, for Lden sound levels the standard used source strengths for road and rail needed to be adapted to better match the sound level measurement results. In a separate paper these corrected sound levels at the façades are coupled to annoyance survey results to derive a local exposure-response relation. The annoyance survey also indicated the importance of peak levels and vibrations. This is further investigated by considering the measured noise dynamics.
Subject
Data assimilation
Monitoring
Traffic noise
Urban sound propagation
Acoustic variables control
Monitoring
Noise pollution
Railings
Roads and streets
Sensor networks
Time varying networks
Transportation
Data assimilation techniques
Engineering modeling
Model-based monitoring
Noise map
Sound propagation
Time-varying sounds
Acoustic noise
To reference this document use:
http://resolver.tudelft.nl/uuid:04be672a-1327-45df-815e-e82caee898d6
TNO identifier
524087
Publisher
Australian Acoustical Society
Source
INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control, November 16-19, 2014, Melbourne, Australia
Document type
conference paper