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Feature Analysis and Process System Design on Intelligent Transportation System Information
ZHANG Ru-hua, YANG Xiao-guang, YAN Hai
2003, 3(4):
27-33 .
With the wide use and system integration of Intelligent Transportation System, traffic information and traffic states become more and more complexity and very difficult to deal with. This paper concentrates on the following three aspects:① analyses the features of ITS information, which include multi-source, heterogeneity and multi-levelness, and the dual-properties of traffic state, which include objectiveness, abstractness, certainty, continuity and subjectivity, concreteness, fuzziness, discreteness.② analyses the significance of information fusion and data mining and puts forward processing modes for ITS information process.③ puts forward the architecture for ITS information process, which integrates information fusion and data mining and could provide strong support for ITS applications.
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