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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

489-492

DOI:

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

Citation:

Y. Gao "Classification of Urban Traffic Network Model Based on Multi-Class Support Vector Machine", Advanced Materials Research, Vols. 204-210, pp. 489-492, 2011

Online since:

February 2011

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Price:

$35.00

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