[1]SHI Xiaopeng,HE Wei,HAN Liqun.Research on traffic information classification based on a greyhistogram and linear discriminant analysis[J].CAAI Transactions on Intelligent Systems,2011,6(4):328-332.
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Research on traffic information classification based on a  greyhistogram and linear discriminant analysis

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 4 Page number: 328-332 Column: 学术论文—机器感知与模式识别 Public date: 2011-08-25
Title:
Research on traffic information classification based on a  greyhistogram and linear discriminant analysis
Author(s):
SHI Xiaopeng;  HE Wei;  HAN Liqun
College of Computer Science and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
Keywords:
traffic information classification; greyhistogram;  LDA;  KNN
CLC:
TP391.4
DOI:
-
Abstract:
Research on realtime traffic information classification is the basis of traffic guidance systems. In this paper, a high dimension feature vector based on a greyhistogram sampling of a road region image was proposed. The classification algorithms of linear discriminant analysis (LDA) and an improved KNearest Neighborhood (KNN) were adopted to reduce the high dimension vector and classify real time traffic information. The experimental results show that the proposed traffic information classification method can supply the same traffic information as what comes from the Beijing Traffic Management Bureau; the rate of identical information is as high as 91.7%.
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