Classification of Urban Traffic Network Model Based on Multi-Class Support Vector Machine

Yan Gao

doi:10.4028/www.scientific.net/AMR.204-210.489

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 204-210Classification of Urban Traffic Network Model...

Classification of Urban Traffic Network Model Based on Multi-Class Support Vector Machine

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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Periodical:

Advanced Materials Research (Volumes 204-210)

Pages:

489-492

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.204-210.489

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Online since:

February 2011

Authors:

Yan Gao

Keywords:

Multi-Class, Pattern Recognition, State Model, Support Vector Machine (SVM), Urban Traffic Network

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