Evaluation of Intersection for Traffic Safety with Fuzzy Neuro Model

DOI Web Site 12 References
  • OKUSHIMA Masashi
    Associate Professor, Department of Ecosystem Engineering, Tokushima University
  • AKIYAMA Takamasa
    Professor, Department of Civil, Environmental and Applied System Engineering, Kansai University

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  • ニューロ的ファジィモデルによる交差点の交通安全度評価
  • ニューロテキ ファジィ モデル ニ ヨル コウサテン ノ コウツウ アンゼンド ヒョウカ

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The estimation of accidents at the intersections would be required in the traffic safety. Many factors have been specified to describe the mechanism of traffic accidents. At the same time, the estimation with high accuracy would be proposed considering the impact of road maintenance works. The model with neural fuzzy model is introduced to develop the estimation model. The genetic algorithm is applied involving the neural fuzzy model to determine the parameters in the model. It is concluded that time and spatial distribution of traffic accidents are estimated accurately with the proposed procedure.

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