Paper Title:
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.

  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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