DocumentCode
2202216
Title
Electric vehicles reform stragety based on Multi-Objective Dynamic Programming
Author
Huang, Xiaoli ; Lin, Yan ; Chung, Tonglee ; Luo, Shizhuang
Author_Institution
Jinan University, Dept of Mathematics, College of Information Science & Technology, Guangzhou, China
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
3715
Lastpage
3718
Abstract
Electric vehicles are the future trend of our transportation. The problem is how we do it considering environmental, social, economic, and health impacts. In this paper, we build a Multi-objective Dynamic Programming model that simulates the reforming process from gasoline vehicles to electric vehicles. The result and the methods can be used as a reference for government electric vehicles replacing strategy. The model will show how the vehicles reform will be carried out. The replacing process will be divided into four stages. And in the end of our 40 years process, most gasoline vehicles are replaced. The advantages and problems faced while replacing will also be discussed in the paper.
Keywords
Analytical models; Dynamic programming; Electric vehicles; Government; Mathematical model; Petroleum; dynamic programming; electric vehicles; multi-objective; transportation reform;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Ningbo, China
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6067989
Filename
6067989
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