Data Analysis of Roadway Attributes through Partial Least Squares Regression

被引:0
作者
Li, Weiguo
Zhang, Hanjie
Du, Xiaoping
Qian, Kun
Li, Cuiying
机构
来源
2010 2ND IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND FINANCIAL ENGINEERING (ICIFE) | 2010年
关键词
coefficient; Partial Least Squares Regression;
D O I
10.1109/ICIFE.2010.5609399
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Based on the actual data collected from black spots on mountain highways, this paper investigated the influences of roadways' attributes upon vehicle speed. The significance of different factors contribute to vehicle speed were represented by the modified coefficients of roadway attributes, and a model was established based on the modified coefficients. Moreover, we took advantage of Logarithmic regression and then applied Partial Least Squares regression for computing the modified coefficients of roadway attributes towards vehicle speed. Through analysis up model, some favorable results obtained. To fix the invalidity of classic least squares regression on this issue, we present the feasible approach to establish regression model.
引用
收藏
页码:466 / 468
页数:3
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