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Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners

文献类型：期刊论文

作者Zeng, Isabella Yunfei1; Tan, Shiqi2; Xiong, Jianliang3; Ding, Xuesong4; Li, Yawen4; Wu, Tian5
刊名ENERGIES
出版日期2021-12-01
卷号14期号:23页码:19
关键词real-world fuel consumption rate machine learning big data light-duty vehicle China
DOI10.3390/en14237915
英文摘要Private vehicle travel is the most basic mode of transportation, so that an effective way to control the real-world fuel consumption rate of light-duty vehicles plays a vital role in promoting sustainable economic growth as well as achieving a green low-carbon society. Therefore, the factors impacting individual carbon emissions must be elucidated. This study builds five different models to estimate the real-world fuel consumption rate of light-duty vehicles in China. The results reveal that the light gradient boosting machine (LightGBM) model performs better than the linear regression, naive Bayes regression, neural network regression, and decision tree regression models, with a mean absolute error of 0.911 L/100 km, a mean absolute percentage error of 10.4%, a mean square error of 1.536, and an R-squared (R-2) value of 0.642. This study also assesses a large pool of potential factors affecting real-world fuel consumption, from which the three most important factors are extracted, namely, reference fuel-consumption-rate value, engine power, and light-duty vehicle brand. Furthermore, a comparative analysis reveals that the vehicle factors with the greatest impact are the vehicle brand, engine power, and engine displacement. The average air pressure, average temperature, and sunshine time are the three most important climate factors.
WOS研究方向Energy & Fuels
语种英语
WOS记录号WOS:000735024900001
出版者MDPI
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/59781]  
专题中国科学院数学与系统科学研究院
通讯作者Xiong, Jianliang
作者单位1.UK China Guangdong CCUS Ctr, Guangzhou 510663, Peoples R China
2.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
3.Tsinghua Univ, Sch Econ & Management, Beijing 100084, Peoples R China
4.Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China
5.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zeng, Isabella Yunfei,Tan, Shiqi,Xiong, Jianliang,et al. Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners[J]. ENERGIES,2021,14(23):19.
APA Zeng, Isabella Yunfei,Tan, Shiqi,Xiong, Jianliang,Ding, Xuesong,Li, Yawen,&Wu, Tian.(2021).Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners.ENERGIES,14(23),19.
MLA Zeng, Isabella Yunfei,et al."Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners".ENERGIES 14.23(2021):19.

入库方式： OAI收割

来源：数学与系统科学研究院

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