The Traffic Pollution Assessment Using Artificial Neural Network And Multivariate Analysis
Author(s): |
Mario De Luca
Daiva Žilionienė Saulius Gadeikis Gianluca Dell'Acqua |
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Medium: | journal article |
Language(s): | English |
Published in: | The Baltic Journal of Road and Bridge Engineering, March 2017, n. 1, v. 12 |
Page(s): | 57-63 |
DOI: | 10.3846/bjrbe.2017.07 |
Abstract: |
The work addressed a study on pollution caused by traffic on the highway. In particular, it was considered the concentration of pollutant, resulting from the passage of vehicles on the freeway. Five different stations (sensors and samples) used to collect data. The data collection period around six months. Also, the following parameters were detected: wind speed and direction, temperature and traffic flow rate. Data processed with Multivariate Analysis and Artificial Neural Network approach. The best model it obtained with Artificial Neural Network approach. In fact, this model presented the best fit to the experimental data. |
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data sheet - Reference-ID
10084595 - Published on:
02/12/2018 - Last updated on:
21/03/2023