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Through a characteristic analysis of multi-source Intelligent Transportation System ITSS) data fusion on data layer combined with the concept of support vector machine (SVM), this article proposes a multi-source ITS data fusion technique using SVM, and designs a corresponding implementation approach from perspectives of SVM training, training result evaluation and SVM test.
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