Multilayer Perceptron Method to Estimate Real-World Fuel Consumption Rate of Light Duty Vehicles

doi:10.1109/ACCESS.2019.2914378

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	Multilayer Perceptron Method to Estimate Real-World Fuel Consumption Rate of Light Duty Vehicles
	Li, Yawen 1; Tang, Guangcan 2; Du, Jiameng 3; Zhou, Nan 4; Zhao, Yue 5; Wu, Tian6,7,8
	2019
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	7 页码:63395-63402
摘要	The actual driving condition and fuel consumption rate gaps between lab and real-world are becoming larger. In this paper, we demonstrate an approach to determine the most important factors that may influence the prediction of real-world fuel consumption rate of light-duty vehicles. A multilayer perceptron (MLP) method is developed for the prediction of fuel consumption since it provides accurate classification results despite the complicated properties of different types of inputs. The model considers the parameters of external environmental factors, the manipulation of vehicle companies, and the drivers' driving habits. Based on the BearOil database in China, 2,424,379 samples are used to optimize our model. We indicate that differences exist between real-world fuel consumption and standard fuel consumption under simulation conditions. This study enables the government and policy-makers to use big data and intelligent systems for energy policy assessment and better governance.
关键词	Artificial intelligence big data multilayer perceptron fuel consumption rate light-duty vehicles
DOI	10.1109/ACCESS.2019.2914378
语种	英语
资助项目	National Natural Science Foundation of China[71804181] ; National Key Research and Development Program of China[2018YFC0807205] ; National Center for Mathematics and Interdisciplinary Sciences, CAS ; Fundamental Research Funds for the Central Universities
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000470836500001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/34980
专题	国家数学与交叉科学中心
通讯作者	Wu, Tian
作者单位	1.Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China 2.Hong Kong Univ Sci & Technol, Dept Comp Sci & Engn, Hong Kong, Peoples R China 3.Carnegie Mellon Univ, Elect & Comp Engn, Pittsburgh, PA 96801 USA 4.Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing 100876, Peoples R China 5.Beijing Univ Posts & Telecommun, Intemat Sch, Beijing 100876, Peoples R China 6.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, Beijing 100190, Peoples R China 7.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China 8.Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Yawen,Tang, Guangcan,Du, Jiameng,et al. Multilayer Perceptron Method to Estimate Real-World Fuel Consumption Rate of Light Duty Vehicles[J]. IEEE ACCESS,2019,7:63395-63402.
APA	Li, Yawen,Tang, Guangcan,Du, Jiameng,Zhou, Nan,Zhao, Yue,&Wu, Tian.(2019).Multilayer Perceptron Method to Estimate Real-World Fuel Consumption Rate of Light Duty Vehicles.IEEE ACCESS,7,63395-63402.
MLA	Li, Yawen,et al."Multilayer Perceptron Method to Estimate Real-World Fuel Consumption Rate of Light Duty Vehicles".IEEE ACCESS 7(2019):63395-63402.