AN ANALYSIS OF URBAN COLLISIONS USING AN ARTIFICIAL INTELLIGENCE MODEL

Traditional studies on road accidents estimate the effect of variables and the calculation of the number of accidents. A descriptive statistical analysis of the accidents over the period 1992-1995 is proposed. The paper describes an alternative method based on the use of artificial neural networks (ANN) in order to work out a model that relates to the analysis of vehicular accidents in Milan. The degree of danger of urban intersections using different scenarios is quantified by the innovative use of ANN. Other results deal with model outputs; intersection complexity may determine a higher accident index depending on the regulation of intersection. The highest index for running over of pedestrian occurs at non-signalized intersections at night time.

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  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Mussone, L
    • Ferrari, A
    • Oneta, M
  • Publication Date: 1999-11

Language

  • English

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Filing Info

  • Accession Number: 00769674
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Sep 9 1999 12:00AM