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The Research of Weighted-Average Fusion Method in Inland Traffic Flow Detection

  • Zhong-zhen Yan
  • Xin-ping Yan
  • Lei Xie
  • Zheyue Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7030)

Abstract

Inland waterway traffic flow statistical data is an important foundation for water transportation planning, construction, management, maintenance and safety monitoring. Proposing a multi-sensor data fusion algorithm based on the weighted average estimation method is used to deal with the vessel traffic flow data, and the optimal weight ratio is inducted. Data fusion method is on the basis of weighted average estimation theory, using distributing map of detection technology to test the consistency of data, checking the data to exclude abnormal ones and record missing data, fusing effective data to improve data accuracy. With MATLAB simulation, this example show that the weighed average estimate data fusion method is simple, with high reliability, can effectively improve the robustness of the system measurements, it can get accurate test results. For inland river ships traffic flow testing various sensing device for the collected data format is not the same, weighted average estimate data fusion method is suitable for the situation.

Keywords

traffic flow detection multisensor data fusion weighted average 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Zhong-zhen Yan
    • 1
    • 2
  • Xin-ping Yan
    • 1
    • 2
  • Lei Xie
    • 1
    • 2
  • Zheyue Wang
    • 1
    • 2
  1. 1.Intelligent Transport System Research CenterWuhan University of TechnologyWuhanP.R. China
  2. 2.Engineering Research Center for Transportation Safety (Ministry of Education)Wuhan University of TechnologyWuhanP. R. China

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