A regression model for fuel consumption

Laiquan Luo; Liangdong Liu (Corresponding Author); Decheng Wang; Xiaopeng Bai; Dingding Li; Zhao Wang; Zhiheng Lu

doi:10.13031/aim.201701626

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A regression model for fuel consumption

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2017 ASABE Annual International Meeting 1701626.(doi:10.13031/aim.201701626)
Authors:   Laiquan Luo, Liangdong Liu (Corresponding Author), Decheng Wang, Xiaopeng Bai, Dingding Li, Zhao Wang, Zhiheng Lu
Keywords:   Fuel consumption, linear regression, prediction

Abstract. This paper focuses on developing an accurate, compact and efficient multiple regression model for fuel consumption. After several attempts to fit multiple models, a multiple linear regression was chosen among all the models. The model is: log10 mpg = 7.955e-01-1.261e-04*weight+1.181e-02*model.year+1.873e-02*origin. From the result of the test, this model can predict the fuel consumption well. This paper provides a linear regression relationship to predict the fuel consumption.

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