The Green Drive: A Comparative Analysis of Carbon Emissions of Traditional Fuel-Based Vehicles
Abstract
This research exposition delves into the ecological ramifications of gasoline-fueled automobiles vis-à-vis their gasoline-driven counterparts. This investigative endeavor employed a comparative methodology, mindful of the escalating apprehensions surrounding climatic alterations and the imperative for sustainable conveyance. The compilation encompasses a plethora of vehicles utilizing carbon monoxide, accentuating authentic emissions data, life cycle examinations, and manufacturers. Participants were meticulously chosen from an array of designs and models to furnish a paradigmatic emissions framework emblematic of vehicular advancement. Procuring emissions data from esteemed enterprises, ecological collectives, and peer-reviewed sources constituted the inaugural phase of the data accumulation process. Despite assiduous endeavors to ascertain precision, limitations of recognition encompass discrepancies in reportage methodologies and biases inherent in the data proffered by corporations, underscoring the import of gauging outcomes in academic milieus. Model Accuracy - Linear Regression 348.24, Ridge Regression 345.45, Lasso Regression 337.21, KNN Regression 314, SVR Regression 333.12, Random Forest 268.4 Actual Value is 28 - Random Forest predication is near to more accurate than other applied models.
References
[2] Christopher G. Hoehne, M. V. (2016). Optimizing plug-in electric vehicle and vehicle-to-grid charge scheduling to minimize carbon emissions. Energy, 646-657.
[3] James Dixon, W. B. (2020). Scheduling electric vehicle charging to minimise carbon emissions and wind curtailment. Renewable Energy, 1072-1091.
[4] Junjie Zhang, R. J. (2022). Does electric vehicle promotion in the public sector contribute to urban transport carbon emissions reduction? Transport Policy, 151-163.
[5] Jin Li, F. W. (2020). Electric vehicle routing problem with battery swapping considering energy consumption and carbon emissions. Sustainability, 12.
[6] Amro M Elshurafa, N. P. (2020). Electric vehicle deployment and carbon emissions in Saudi Arabia: A power system perspective. The Electricity Journal, 106774.
[7] Anne Goodchild, E. W. (2018). An analytical model for vehicle miles traveled and carbon emissions for goods delivery scenarios. European Transport Research Review, 1-10.
[8] S. Giblin, A. M. (2009). Modelling the impacts of a carbon emission-differentiated vehicle tax system on CO2 emissions intensity from new vehicle purchases in Ireland. Energy Policy, 1404-1411.
[9] Lee Schipper, C. S. (2011). Transport and carbon emissions in the United States: the long view. Energies, 563-581.
[10] Weiheng Zhang, Y. G. (2020). Multi-depot green vehicle routing problem to minimize carbon emissions. Sustainability, 12.
[11] Jin Li, D. W. (2018). Heterogeneous fixed fleet vehicle routing problem based on fuel and carbon emissions. Journal of Cleaner Production, 896-908.
[12] Ang Yu, Y. W. (2018). Life cycle environmental impacts and carbon emissions: A case study of electric and gasoline vehicles in China. Transport and Environment, 409-420.
[13] Tiago Ferrari Luna, M. U.-M. (2020). The influence of e-carsharing schemes on electric vehicle adoption and carbon emissions: An emerging economy study. Transport and Environment, 102226.
[14] Turkensteen, M. (2017). The accuracy of carbon emission and fuel consumption computations in green vehicle routing. European Journal of Operational Research, 647-659.
[15] Mehrsa Ehsani, A. A. (2016). Modeling of vehicle fuel consumption and carbon dioxide emission in road transport. Renewable and Sustainable Energy Reviews, 1638-1648.
[16] Paola Helena Barros Zárante, J. R. (2009). Evaluating carbon emissions reduction by use of natural gas as engine fuel. Journal of Natural Gas Science and Engineering, 216-220.
[17] Kemal Ayyildiz, F. C. (2017). Reducing fuel consumption and carbon emissions through eco-drive training. Traffic Psychology and Behaviour, 96-110.
[18] Amgad Elgowainy, A. R. (2013). Cost of ownership and well-to-wheels carbon emissions/oil use of alternative fuels and advanced light-duty vehicle technologies. Energy for Sustainable Development, 626-641.
[19] Z.D. Ristovski, E. J. (2005). Particle and carbon dioxide emissions from passenger vehicles operating on unleaded petrol and LPG fuel. Science of The Total Environment, 93-98.
[20] Shaojun Zhang, Y. W. (2014). Real-world fuel consumption and CO2 (carbon dioxide) emissions by driving conditions for light-duty passenger vehicles in China. Energy, 247-257.
[21] W.W. Song, K. H. (2012). Black carbon emissions from on-road vehicles in China, 1990–2030. Atmospheric Environment, 320-328.
[22] Yang Wang, Z. X. (2016). Are emissions of black carbon from gasoline vehicles overestimated? Real-time, in situ measurement of black carbon emission factors. Science of The Total Environment, 422-428.
[23] Tolga Ercan, N. C. (2022). Autonomous electric vehicles can reduce carbon emissions and air pollution in cities. Transport and Environment, 103472.
[24] Shaojun Zhang, X. W. (2021). Mitigation potential of black carbon emissions from on-road vehicles in China. Environmental Pollution, 116746.
[25] Quality of experience assessment in virtual/augmented reality serious games for healthcare: A systematic literature review[J]. Technology and Disability, vol. 36, no. 1-2, pp. 17-28, 2024.
[26] An Anomaly Detection Model Based on Deep Auto-encoder and Capsule Graph Convolution via Sparrow Search Algorithm in 6G Internet-of-Everything[J]. IEEE Internet of Things Journal, 2024. DOI: 10.1109/JIOT.2024.3353337.
Copyright (c) 2025 Hamza Ahmed, Khawaja Hassan Nizami, Muhammad Sharique, Seema Hassan Sahar, Saqib Hassan Mehboob, Syeda Paras
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