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@article{ART002880847},
author={Kwang-Ho Ko},
title={Machine Learning Methods to Predict Vehicle Fuel Consumption},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={9},
pages={13-20},
doi={10.9708/jksci.2022.27.09.013}

TY - JOUR
AU - Kwang-Ho Ko
TI - Machine Learning Methods to Predict Vehicle Fuel Consumption
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 9
PB - The Korean Society Of Computer And Information
SP - 13
EP - 20
SN - 1598-849X
AB - It’s proposed and analyzed ML(Machine Learning) models to predict vehicle FC(Fuel Consumption) in real-time. The test driving was done for a car to measure vehicle speed, acceleration, road gradient and FC for training dataset. The various ML models were trained with feature data of speed, acceleration and road-gradient for target FC. There are two kind of ML models and one is regression type of linear regression and k-nearest neighbors regression and the other is classification type of k-nearest neighbors classifier, logistic regression, decision tree, random forest and gradient boosting in the study. The prediction accuracy is low in range of 0.5 ~ 0.6 for real-time FC and the classification type is more accurate than the regression ones. The prediction error for total FC has very low value of about 0.2 ~ 2.0% and regression models are more accurate than classification ones. It’s for the coefficient of determination (R2) of accuracy score distributing predicted values along mean of targets as the coefficient decreases. Therefore regression models are good for total FC and classification ones are proper for real-time FC prediction.
KW - Fuel Consumption;Fuel Economy;Regression;Classification;Machine Learning
DO - 10.9708/jksci.2022.27.09.013
ER -

Kwang-Ho Ko. (2022). Machine Learning Methods to Predict Vehicle Fuel Consumption. Journal of The Korea Society of Computer and Information, 27(9), 13-20.

Kwang-Ho Ko. 2022, "Machine Learning Methods to Predict Vehicle Fuel Consumption", Journal of The Korea Society of Computer and Information, vol.27, no.9 pp.13-20. Available from: doi:10.9708/jksci.2022.27.09.013

Kwang-Ho Ko "Machine Learning Methods to Predict Vehicle Fuel Consumption" Journal of The Korea Society of Computer and Information 27.9 pp.13-20 (2022) : 13.

Kwang-Ho Ko. Machine Learning Methods to Predict Vehicle Fuel Consumption. 2022; 27(9), 13-20. Available from: doi:10.9708/jksci.2022.27.09.013

Kwang-Ho Ko. "Machine Learning Methods to Predict Vehicle Fuel Consumption" Journal of The Korea Society of Computer and Information 27, no.9 (2022) : 13-20.doi: 10.9708/jksci.2022.27.09.013

Kwang-Ho Ko. Machine Learning Methods to Predict Vehicle Fuel Consumption. Journal of The Korea Society of Computer and Information, 27(9), 13-20. doi: 10.9708/jksci.2022.27.09.013

Kwang-Ho Ko. Machine Learning Methods to Predict Vehicle Fuel Consumption. Journal of The Korea Society of Computer and Information. 2022; 27(9) 13-20. doi: 10.9708/jksci.2022.27.09.013

Kwang-Ho Ko. Machine Learning Methods to Predict Vehicle Fuel Consumption. 2022; 27(9), 13-20. Available from: doi:10.9708/jksci.2022.27.09.013

Kwang-Ho Ko. "Machine Learning Methods to Predict Vehicle Fuel Consumption" Journal of The Korea Society of Computer and Information 27, no.9 (2022) : 13-20.doi: 10.9708/jksci.2022.27.09.013