Paper Title:
Probe into Improved D-S Evidence Inference Algorithm Based on Weighted Method in Traffic Information Recognition
  Abstract

Data recognition is the most important problem of traffic information recognition to be resolved, evidence inference method for such uncertainty problems have a strong advantage, but it can’t deal with contradictions of evidence, that largely limits the practical application of it. This paper improves D-S evidence inference algorithm. The improved algorithm can effectively deal with contradictions of evidence, and obtain more satisfactory and reasonable fusion results. Finally, the algorithm is verified by traffic information simulation experiment.

  Info
Periodical
Chapter
Chapter 7: Computer Simulation and CAD/CAE
Edited by
Xuejun Zhou
Pages
2138-2143
DOI
10.4028/www.scientific.net/AMM.94-96.2138
Citation
Y. J. Lv, X. F. Xie, X. B. Song, X. L. Zhou, M. Liu, "Probe into Improved D-S Evidence Inference Algorithm Based on Weighted Method in Traffic Information Recognition", Applied Mechanics and Materials, Vols. 94-96, pp. 2138-2143, 2011
Online since
September 2011
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Price
$32.00
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Authors: Zhi Gang Ma
Chapter 1: CAD/CAM
Abstract:As one of the most important data fusion methods used for dealing with uncertainty problems, the D-S evidence reasoning has been applied to...
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