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Original Article
CO2 Emission Rating by Vehicles Using Data Science
G. Shubham1
M. Sirivennela2
V. Karthikeyasai3
K. Vinay4
Dr. Madhavi Pingili5
1234 B. tech, Department of Information Technology, CMR Engineering College, Hyderabad, Telangana, India. 5Professor & HOD, Department of Information Technology, CMR Engineering College, Hyderabad, Telangana, India.
Published Online: January-April 2025
Pages: 176-179
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250401027
References
1. Sandeep Kumar Pranab K. Muhu - A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset! -2019.
2. Ngo Le Huy Hien and Ab-Lian Kor "Analysis and Prediction Model of Fuel Consumption and Carbon Dioxide Emissions of Light-Duty
Vehicles" (2021).
3. Prof. Swapnil Wani,2Mr. Akash Akhilesh Yadav " Predicting CO2 Emission Using Machine Leaming" (2022)
4. Lakshay Amarpuri, Navdeep Yadav, Girish Kumar, and Saurabh Agrawal, "Prediction of CO2 emissions using deep learning hybrid
technique," (2019).
5. L. Amarpuri, N. Yadav, G. Kumar, and S. Agrawal, "Prediction of CO2 Emissions Using a Hybrid Deep Leaming Approach: A Case
Study in Indian Context," Twelfth International Conference on Contemporary Computing (IC3),(2019).
6. Chairul Salehi, Nur Rachman Dzakiyullah “Carbon dioxide emission prediction using support vector machince" (2016).
7. Le Comee, C.M.; Molden, N.; van Reeuwijk, M.; Stettler, M.E. Modelling of instantane- ous emissions from diesel vehicles with a special
focus on NOx: Insights from machine learning techniques. Total Environ. 2020.
8. Jaiprakasb, Habib, G., Kumar, A., Sharma, A., & Haider, M. (2017). On-road emissions of CO, CO2 and NOx from four-wheeler and
emission estimates for Delhi. Journal of Envi- ronmental Sciences, 53(X),39-47.
9. H. T. Pao, C.M. Tsai. Modeling and forecasting the CO2 emissions, energy con- sumption, and economic growth in Brazil. Energy, 36
(2011) 2450 2458.
10. Marland G, Boden TA, and Andres RJ (2011) CO2 emissions from fossil fuels on a glob- al, regional, and nationwide scale. Carbon
Dioxide Information Analysis Center, US Depa- rtment of Energy, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA doi.
11. G. Fontaras et al. "Use of a vehicle-modelling tool for predicting CO2 emissions in the framework of European regulations for light
goods vehicles".
12. Kan, Z.; Tang, L.; Kwan, M.P.; Zhang, X. Estimating vehicle fuel consumption and emis- sions using GPS big data. Int. J. Environ's.
2018,15, 566.
13. Becker, J.C...Lorzer, R. Kurtenbach, P. Wiesn, T.E. Jensen, T.J. Wallington, 1999: Nitrous oxide (N2O) emissions from vehicles. -
Environ. Sci. Tech-no! 33, 4134-4139.
14. Yang, Z.; Bandivadekar, A. Light-Duty Vehicle Greenhouse Gas and Fuel Economy Standards; International Council on Clean
Transportation: Washington, DC, USA, 2017; p.
15. Guensler, R. Data Needs for Evolving Motor Vehicle Emission Modeling Approaches; The University of California Transportation
Center: Berkeley, CA, USA, 1993; pp. 167-228.
2. Ngo Le Huy Hien and Ab-Lian Kor "Analysis and Prediction Model of Fuel Consumption and Carbon Dioxide Emissions of Light-Duty
Vehicles" (2021).
3. Prof. Swapnil Wani,2Mr. Akash Akhilesh Yadav " Predicting CO2 Emission Using Machine Leaming" (2022)
4. Lakshay Amarpuri, Navdeep Yadav, Girish Kumar, and Saurabh Agrawal, "Prediction of CO2 emissions using deep learning hybrid
technique," (2019).
5. L. Amarpuri, N. Yadav, G. Kumar, and S. Agrawal, "Prediction of CO2 Emissions Using a Hybrid Deep Leaming Approach: A Case
Study in Indian Context," Twelfth International Conference on Contemporary Computing (IC3),(2019).
6. Chairul Salehi, Nur Rachman Dzakiyullah “Carbon dioxide emission prediction using support vector machince" (2016).
7. Le Comee, C.M.; Molden, N.; van Reeuwijk, M.; Stettler, M.E. Modelling of instantane- ous emissions from diesel vehicles with a special
focus on NOx: Insights from machine learning techniques. Total Environ. 2020.
8. Jaiprakasb, Habib, G., Kumar, A., Sharma, A., & Haider, M. (2017). On-road emissions of CO, CO2 and NOx from four-wheeler and
emission estimates for Delhi. Journal of Envi- ronmental Sciences, 53(X),39-47.
9. H. T. Pao, C.M. Tsai. Modeling and forecasting the CO2 emissions, energy con- sumption, and economic growth in Brazil. Energy, 36
(2011) 2450 2458.
10. Marland G, Boden TA, and Andres RJ (2011) CO2 emissions from fossil fuels on a glob- al, regional, and nationwide scale. Carbon
Dioxide Information Analysis Center, US Depa- rtment of Energy, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA doi.
11. G. Fontaras et al. "Use of a vehicle-modelling tool for predicting CO2 emissions in the framework of European regulations for light
goods vehicles".
12. Kan, Z.; Tang, L.; Kwan, M.P.; Zhang, X. Estimating vehicle fuel consumption and emis- sions using GPS big data. Int. J. Environ's.
2018,15, 566.
13. Becker, J.C...Lorzer, R. Kurtenbach, P. Wiesn, T.E. Jensen, T.J. Wallington, 1999: Nitrous oxide (N2O) emissions from vehicles. -
Environ. Sci. Tech-no! 33, 4134-4139.
14. Yang, Z.; Bandivadekar, A. Light-Duty Vehicle Greenhouse Gas and Fuel Economy Standards; International Council on Clean
Transportation: Washington, DC, USA, 2017; p.
15. Guensler, R. Data Needs for Evolving Motor Vehicle Emission Modeling Approaches; The University of California Transportation
Center: Berkeley, CA, USA, 1993; pp. 167-228.
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