基于证据理论的多模型事故再现结果融合*

doi:10.19562/j.chinasae.qcgc.2019.04.015

Abstract

Abstract: The evidence theory is introduced in this paper for the fusion of multi-models’ results, two methods for evaluating the value of basic probability assignment (BPA) are explored and the fusion scheme when model’s results are intervals is given. The demonstration of a real case indicates that when the first value evaluation method for BPA is chosen, the essence of fusion is to average multi-models’ results, while the second method can get more objective results of fusion due to the introduction of experts’ opinions. When the models’ results are intervals, though the results of fusion are complicated but they contain more information. This study provides a solution for the scientific description of multi-models’ results, and gives supports for further enhancing the objectivity of reconstruction results.

Key words: accident reconstruction, evidence theory, fusion, basic probability assignment, uncertainty

Zou Tiefang, Liu Yong, He Fenglin , Li Hua. Fusion of Accident Reconstruction Results Obtained From Multiple Models Based on Evidence Theory[J].Automotive Engineering, 2019, 41(4): 462-467.

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Fusion of Accident Reconstruction Results Obtained From Multiple Models Based on Evidence Theory

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