Shahram Badamchizadeh - PhD in Natural Resources - Wood and Cellulose Products, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran
Hassan Ali Ozgoli - Department of Mechanical Engineering, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran
Ahmad Jahan Latibari - Department of Wood and paper science and Technology, Karaj Branch, Islamic Azad University, Karaj, Iran
Ajang Tajdini - Department of Wood and paper science and Technology, Karaj Branch, Islamic Azad University, Karaj, Iran
Shademan Pourmousa - Department of Wood and paper science and Technology, Karaj Branch, Islamic Azad University, Karaj, Iran
Amir Lashgari - Department of Wood and paper science and Technology, Karaj Branch, Islamic Azad University, Karaj, Iran

In this study, a nonlinear autoregressive artificial neural network was applied to predict the CO۲ emissions in the next ۱۵ years. Based on the modeling results, the CO۲ emissions are expected to increase from ۸.۳۶۷۸ (metric tons per capita) in ۲۰۱۶ to ۱۱.۹۵۳۹ (metric tons per capita) in ۲۰۳۵. According to the latest official data on the official website of the Ministry of Petroleum (Iran), the urban transportation sector with the consumption of about a quarter of petroleum products is known as one of the main sources of air pollution in Iran. Therefore, it is proposed to prevent the emission of CO۲ in the coming years by replacing biofuels with some fossil fuels.

Artificial Neural Network, CO۲ emissions, Urban transportation, Air pollution, biofuels.