TRAFFIC POLLUTION ASSESSMENT USING
ARTIFICIAL NEURAL NETWORK AND MULTIVARIATE ANALYSIS
2017 ◽
Vol 12
(1)
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pp. 57-63
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Keyword(s):
Best Fit
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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.
2019 ◽
Vol 2
(4)
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pp. 178
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2021 ◽
Vol 620
◽
pp. 126562
2019 ◽
Vol 128
◽
pp. 121-127
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2005 ◽
Vol 117
(4)
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pp. 1709-1712
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2015 ◽
Vol 36
(6)
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pp. 1065-1082
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2011 ◽
Vol 50
(17)
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pp. 10320-10328
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