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Daiva Žilionienė
, Mario De Luca
, Gianluca Dell’Acqua
, Renato Lamberti
, Salvatore Antonio Biancardo
, Francesca Russo
Evaluating Freeway Traffic Noise Using Artificial Neural Network
| Conference Information: |
9th International Conference on Environmental
Engineering, MAY 22-24, 2014 Vilnius, LITHUANIA |
| Source: |
ICEE-2014 - International Conference on Environmental
Engineering |
| Book Series: |
International Conference on Environmental Engineering
(ICEE) Selected papers |
| ISSN: |
ISSN 2029-7092 online |
| ISBN: |
978-609-457-640-9 / 978-609-457-690-4 CD |
| Year: |
2014 |
| Publisher: |
Vilnius Gediminas Technical University Press Technika |
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Abstract
In this paper, were conducted a study on the noise produced by traffic on the freeway. In particular, it was rated the Sound Pressure Level
Equivalent, resulting from the passage of vehicles on a highway located in southern Italy. It was carried out a number of readings using
five sensors Orione Cel 500 Model 573 located close to the highway. The period of data collection lasted about six months and involved a
stretch of about 20 km. In addition, the following atmosphere and environmental parameters were detected: Speed and Wind Direction,
Temperature, Rainfall, and Traffic Flow. The data, organized and stored in an appropriately trained GIS system, were processed using
Artificial Neural Network procedures. The Artificial Neural Network has proved particularly valid in fact, in comparison with the main
models in the literature it was the most reliable.
Keywords: Noise pollution; Artificial neural network; Traffic; Freeway.
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