DOAJ Open Access 2017

Traffic Pollution Assessment Using Artificial Neural Network and Multivariate Analysis

Mario De Luca Daiva Žilionienė Saulius Gadeikis Gianluca Dell’Acqua

Abstrak

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.

Topik & Kata Kunci

Highway engineering. Roads and pavements Bridge engineering

Penulis (4)

Mario De Luca

Daiva Žilionienė

Saulius Gadeikis

Gianluca Dell’Acqua

Format Sitasi

APA MLA BibTeX

Luca, M.D., Žilionienė, D., Gadeikis, S., Dell’Acqua, G. (2017). Traffic Pollution Assessment Using Artificial Neural Network and Multivariate Analysis. https://doi.org/10.3846/bjrbe.2017.07

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Informasi Jurnal

Tahun Terbit: 2017
Sumber Database: DOAJ
DOI: 10.3846/bjrbe.2017.07
Akses: Open Access ✓