Modeling of CO emissions from traffic vehicles using artificial neural networks
Traffic emissions are considered one of the leading causes of environmental impact in megacities and their dangerous effects on human health. This paper presents a hybrid model based on data mining and GIS models designed to predict vehicular Carbon Monoxide (CO) emitted from traffic on the New Klan...
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Main Authors: | Al-Gbur, Omer Saud Azeez, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Shukla, Nagesh, Lee, Chang Wook, Rizeei, Hossein Mojaddadi |
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Format: | Article |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2019
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Online Access: | http://psasir.upm.edu.my/id/eprint/81380/1/Modeling%20of%20CO%20emissions%20from%20traffic%20vehicles%20using%20artificial%20neural%20networks.pdf http://psasir.upm.edu.my/id/eprint/81380/ https://www.mdpi.com/2076-3417/9/2/313 |
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