Affiliation:
1. Sakarya University
2. SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ
Abstract
In recent years, increasing concerns about vehicle emissions' environmental and public health impacts have led to the desire to use eco-friendly fuels as alternatives to traditional fossil fuels. Biofuels, hydrogen, and electric power offer lower greenhouse gas emissions and improved air quality, resulting in their development and adoption globally. Predicting vehicle emissions using these fuels is crucial for assessing their environmental benefits. This study proposes using artificial neural networks (ANN), a machine learning technique, to accurately predict vehicle emissions associated with eco-friendly fuels across different compositions and engine speeds. The ANN model has a strong correlation between predicted and observed emissions values, indicating the effectiveness of its model. The research underscores the importance of adopting innovative approaches to address environmental challenges and promote sustainable transportation solutions. This study contributes to reducing the adverse effects of vehicle emissions on air quality and public health by assisting policymakers, car manufacturers, and city planners in making effective decisions. It promotes environmental sustainability by providing valuable insights into vehicle emissions prediction and guiding the development of eco-friendly fuels for a more efficient transportation system.
Publisher
Sakarya University Journal of Computer and Information Sciences
Reference21 articles.
1. [1] H. Aydin and C. İlkiliç, 'Air pollution, pollutant emissions and harmfull 'effects', J. Eng. Technol., vol. 1, no. 1, Art. no. 1, Dec. 2017.
2. [2] F. Kelen, ‘Motorlu Taşıt Emisyonlarının İnsan Sağlığı ve Çevre Üzerine Etkileri’, Üzüncü Il Üniversitesi Fen Bilim. Enstitüsü Derg., vol. 19, no. 1–2, Art. no. 1–2, Nov. 2014.
3. [3] P. Gireesh Kumar, P. Lekhana, M. Tejaswi, and S. Chandrakala, 'Effects of vehicular emissions on the urban environment- a state of the 'art', Mater. Today Proc., vol. 45, pp. 6314–6320, Jan. 2021, doi: 10.1016/j.matpr.2020.10.739.
4. [4] E. Ogur and S. Kariuki, 'Effect of Car Emissions on Human Health and the 'Environment', Int. J. Appl. Eng. Res., vol. 9, pp. 11121–11128, Jan. 2014.
5. [5] K. A. Bello, O. Awogbemi, and M. G. Kanakana-Katumba, 'Assessment of Alternative Fuels for Sustainable Road 'Transportation', presented at the 2023 IEEE 11th International Conference on Smart Energy Grid Engineering, SEGE 2023, 2023, pp. 7–15. doi: 10.1109/SEGE59172.2023.10274583.