Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation

Beytullah Eren; İdris Cesur

doi:10.35377/saucis...1444155

EN

Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation

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.

Keywords

References

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Details

Primary Language

English

Subjects

Environmentally Sustainable Engineering

Journal Section

Research Article

Authors

Beytullah Eren ^*
0000-0001-6747-7004
Türkiye

İdris Cesur
0000-0001-7487-5676
Türkiye

Early Pub Date

April 27, 2024

Publication Date

April 30, 2024

Submission Date

February 28, 2024

Acceptance Date

April 3, 2024

Published in Issue

Year 2024 Volume: 7 Number: 1

DOI

https://doi.org/10.35377/saucis...1444155

IZ

https://izlik.org/JA93HN35JK

Cite

RIS / Bibtex

APA

Eren, B., & Cesur, İ. (2024). Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation. Sakarya University Journal of Computer and Information Sciences, 7(1), 103-111. https://doi.org/10.35377/saucis...1444155

AMA

1.Eren B, Cesur İ. Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation. SAUCIS. 2024;7(1):103-111. doi:10.35377/saucis.1444155

Chicago

Eren, Beytullah, and İdris Cesur. 2024. “Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation”. Sakarya University Journal of Computer and Information Sciences 7 (1): 103-11. https://doi.org/10.35377/saucis. 1444155.

EndNote

Eren B, Cesur İ (April 1, 2024) Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation. Sakarya University Journal of Computer and Information Sciences 7 1 103–111.

IEEE

[1]B. Eren and İ. Cesur, “Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation”, SAUCIS, vol. 7, no. 1, pp. 103–111, Apr. 2024, doi: 10.35377/saucis...1444155.

ISNAD

Eren, Beytullah - Cesur, İdris. “Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation”. Sakarya University Journal of Computer and Information Sciences 7/1 (April 1, 2024): 103-111. https://doi.org/10.35377/saucis. 1444155.

JAMA

1.Eren B, Cesur İ. Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation. SAUCIS. 2024;7:103–111.

MLA

Eren, Beytullah, and İdris Cesur. “Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation”. Sakarya University Journal of Computer and Information Sciences, vol. 7, no. 1, Apr. 2024, pp. 103-11, doi:10.35377/saucis. 1444155.

Vancouver

1.Beytullah Eren, İdris Cesur. Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation. SAUCIS. 2024 Apr. 1;7(1):103-11. doi:10.35377/saucis. 1444155