Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey.

Journal: Traffic injury prevention
Published Date: Jan 13, 2016

Abstract

OBJECTIVE: Currently, in Turkey, fault rates in traffic accidents are determined according to the initiative of accident experts (no speed analyses of vehicles just considering accident type) and there are no specific quantitative instructions on fault rates related to procession of accidents which just represents the type of collision (side impact, head to head, rear end, etc.) in No. 2918 Turkish Highway Traffic Act (THTA 1983). The aim of this study is to introduce a scientific and systematic approach for determination of fault rates in most frequent property damage-only (PDO) traffic accidents in Turkey.

Authors

  • Ali Can Yilmaz
    a Department of Automotive Engineering , Cukurova University , Adana , Turkey.
  • Cigdem Aci
    b Department of Computer Engineering , Mersin University , Mersin , Turkey.
  • Kadir Aydin
    c Department of Mechanical Engineering , Cukurova University , Adana , Turkey.

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