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

doi:10.3390/en14237915

CSpace

	Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners
	Zeng, Isabella Yunfei 1; Tan, Shiqi 2; Xiong, Jianliang 3; Ding, Xuesong 4; Li, Yawen 4; Wu, Tian 5
	2021-12-01
发表期刊	ENERGIES
卷号	14 期号:23 页码:19
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.
关键词	real-world fuel consumption rate machine learning big data light-duty vehicle China
DOI	10.3390/en14237915
收录类别	SCI
语种	英语
WOS研究方向	Energy & Fuels
WOS类目	Energy & Fuels
WOS记录号	WOS:000735024900001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/59782
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.