Study on the Emission Model of Light-duty Vehicles based on On-board Testing
at present the vehicle emission is the main resource of urban air pollution. The proper modeling of microscopic vehicle emission plays an important role in the accurate analysis and control of urban automobiles. In this paper, light duty vehicle selected as research object, the model of microscopic emission based on velocity and acceleration using BP neural network and bivariate regression analysis separately. The result shows that the two models are helpful to forecast and analyze the actual emission of vehicles on road. The model based on BP neural network is more suitable for the analysis of actual emission. The research in this paper can help propose the quantitative analysis and control strategy of urban emission.
on-board emission testing neural network btvariate regression analysis emission model
Guo Dong Zheng Chunyan Zhang Yirui Wang Linhong
School of Transportation and Vehicle Engineering Shandong University of Technology Zibo, China School of Management Shandong University of Technology Zibo, China School of Traffic and Transportation Jilin University Changchun, China
国际会议
成都
英文
1849-1852
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）