A Roadside Safety Assessment Method Based on Bayesian Network

Roadside safety assessment is necessary for reducing the traffic accidents. An index system for roadside safety assessment was presented according to the studies of home and abroad. In addition, a method for roadside safety measurement using Bayesian network £¨BN£©, which has excellent abilities of expressing and reasoning knowledge under uncertain environment, was proposed to construct the safety assessment model. The assessment model is able to deal with complicated logic relationship as well as the different opinions of experts. The output of the safety assessment model can be used to predict and diagnose different safety conditions. The model was validated by application to safety assessment of a roadside, and the results show that the method is effective and reasonable.

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  • Corporate Authors:

    Hubei Key Laboratory of Control Structure, Huazhong University of Science £¦ Technology, Wuhan Hubei 430074, China

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  • Authors:
    • HENG, ZHENG
    • CHANG-CHENG, L I
    • LIU, Y U
  • Publication Date: 2008-2

Language

  • Chinese

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01155205
  • Record Type: Publication
  • Source Agency: Transport Research Centre (CDV)
  • Files: ITRD
  • Created Date: Apr 23 2010 10:57AM