Abstract
For poor accuracy of detection of the urban traffic network classification, the Support Vector Machine (SVM)is applied to classification of traffic incidents.This paper presents a traffic pattern classification method based on multi-class support vector machine, and design the network structure of the detection system. Simulation results show that: compared to other algorithms, the network, which is valid for urban transportation classification, has the advantages of high detection rate and low false alarm rate for small samples.
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