Cars Fuel Efficiency Prediction

The subject of the present paper aims at analyzing the means of developing and using a complex database to estimate cars' fuel efficiency. Another component is the improved system of any number of parameters linked to the cars, fuel type, rate of consumption, and operational environment, which help in the development of plentiful models. The knowledge of these variables such as engine capacity, number of cylinders, and the weight of the vehicle goes a long way in enhancing models by engineers and researchers and general policies by distinct policymakers. Thus, the study focuses on the relevance of the predictive models in the most efficient fuel usage, the consideration of sustainability, as well as the further development of automotive engineering [1]. Linear regression is advocated as one of the important strategies of enhancing precision in predicting future values of variables on the basis of the past records. The idea in the end is to pave way for innovations and contribute to the growth of the green movement by improving on the vehicles [2].

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Publication Details

Published
2024-11-12
DOI
https://doi.org/10.1109/iccda64887.2024.10867328
Citations
1
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.20
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article

Cars Fuel Efficiency Prediction

Manju Jose, Wael Al Thohli, Khalid Hilal Al Muaini, Laith Al Maharbi
1 citations
Vehicle emissions and performance
0.20
article

Cars Fuel Efficiency Prediction

Manju Jose, Wael Al Thohli, Khalid Hilal Al Muaini, Laith Al Maharbi
article en
1 citations

Abstract

The subject of the present paper aims at analyzing the means of developing and using a complex database to estimate cars' fuel efficiency. Another component is the improved system of any number of parameters linked to the cars, fuel type, rate of consumption, and operational environment, which help in the development of plentiful models. The knowledge of these variables such as engine capacity, number of cylinders, and the weight of the vehicle goes a long way in enhancing models by engineers and researchers and general policies by distinct policymakers. Thus, the study focuses on the relevance of the predictive models in the most efficient fuel usage, the consideration of sustainability, as well as the further development of automotive engineering [1]. Linear regression is advocated as one of the important strategies of enhancing precision in predicting future values of variables on the basis of the past records. The idea in the end is to pave way for innovations and contribute to the growth of the green movement by improving on the vehicles [2].

Majan College (OM)
Openalex Percentile: Top 46%
Vehicle emissions and performance
0.20
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