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Methods for describing different results obtained from different methods in accident reconstruction.

Tiefang Zou1, Fenglin He2, Ming Cai3

  • 1School of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, China; Mechanical & Manufacturing Engineering, Trinity College Dublin, Dublin 2, Ireland; Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Hunan Province 410114, China.

Forensic Science International
|September 23, 2018
PubMed
Summary

Reconstructing traffic accidents often yields multiple results. This study introduces methods to fuse or rank these outcomes, providing more reliable descriptions for accident reconstruction, even when considering calculation uncertainty.

Keywords:
Accident reconstructionDifferent resultsFusingOperatorRanking

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Area of Science:

  • Forensic Engineering
  • Traffic Safety Analysis
  • Data Fusion Techniques

Background:

  • Traffic accident reconstruction can produce multiple, conflicting results.
  • Describing and reconciling these diverse outcomes presents a significant challenge in forensic analysis.

Purpose of the Study:

  • To develop and validate methods for consolidating or ranking disparate traffic accident reconstruction results.
  • To enhance the reliability and trustworthiness of accident reconstruction outcomes.

Main Methods:

  • Utilized Ordered Weighted Averaging (OWA) and Uncertain Ordered Weighted Averaging (UOWA) operators for fusing certain and interval results.
  • Employed Combination Weight Arithmetic Average (CWAA) and OWA operators for ranking results based on credibility.
  • Applied proposed methods to a real-world vehicle-motorcycle accident case.

Main Results:

  • Successfully fused multiple results into a single, representative outcome (e.g., 64.56 km/h or [62.13, 68.13] km/h when considering uncertainty).
  • Developed methods to rank results, providing a credible order of potential outcomes.
  • Demonstrated the practical applicability and effectiveness of the proposed fusion and ranking techniques.

Conclusions:

  • The proposed methods offer reliable approaches to manage and interpret multiple results in traffic accident reconstruction.
  • The techniques provide enhanced confidence in the final descriptions of accident scenarios.
  • The study contributes robust tools for accident reconstruction professionals facing data ambiguity.