Affiliation:
1. Research Group in Advanced Telecommunications (GRITA), Universidad Católica de Murcia (UCAM), 30107 Guadalupe, Spain
Abstract
To manage noise pollution, cities use monitoring systems over wireless acoustic sensor networks. These networks are mainly composed of fixed-location sound pressure level sensors deployed in outdoor sites of the city for long-term monitoring. However, due to high economic and human resource costs, it is not feasible to deploy fixed metering stations on every street in a city. Therefore, these continuous measurements are usually complemented with short-term measurements at different selected locations, which are carried out by acoustic sensors mounted on vehicles or at street level. In this research, the application of artificial neural networks is proposed for estimation of the long-term environmental acoustic pattern of a location based on the information collected during a short time period. An evaluation has been carried out through a comparison of eight artificial neural network architectures using real data from the acoustic sensor network of Barcelona, Spain, showing higher accuracy in prediction when the complexity of the model increases. Moreover, time slots with better performance can be detected, helping city managers to deploy temporal stations optimally.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference35 articles.
1. Zipf, L., Primack, R.B., and Rothendler, M. (2020). Citizen scientists and university students monitor noise pollution in cities and protected areas with smartphones. PLoS ONE, 15.
2. European Commission (2002). Directive 2002/49/EC of the European Parliament and of the Council of 25 June 2002 Relating to the Assessment and Management of Environmental Noise.
3. Internet of Things for Smart Cities;Zanella;IEEE Internet Things J.,2014
4. Garrido, J.C., Mosquera, B.M., Echarte, J., and Sanz, R. (2019). InterNoise19, Proceedings of the Inter-Noise and Noise-Con Congress Conference, Madrid, Spain, 16–19 June 2019, Institute of Noise Control Engineering.
5. Pita, A., Rodriguez, F.J., and Navarro, J.M. (2021). Cluster Analysis of Urban Acoustic Environments on Barcelona Sensor Network Data. Int. J. Environ. Res. Public Health, 18.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献