Applicability of Fuzzy Inflow Control for Urban Expressway with Knowledge Acquisition

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  • OKUSHIMA Masashi
    Associate Professor, Department of Ecosystem Design, The University of Tokushima
  • AKIYAMA Takamasa
    Professor, Department of Civil, Environmental and Applied System Engineering, Kansai University

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Other Title
  • 都市高速道路の知識利用型ファジィ流入制御に関する適用性の検証
  • トシ コウソク ドウロ ノ チシキ リヨウガタ ファジィ リュウニュウ セイギョ ニ カンスル テキヨウセイ ノ ケンショウ

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Abstract

Advanced traffic controller for urban expressway would be recommended corresponding to the recent progress of information technologies as well as soft-computing. On the other hand, it has summarized as significant results of researches that the essential traffic control for urban expressway can be discussed based on the fuzzy control formulations. The flexible and robust traffic controller can be created with the formulation of fuzzy logic. The optimization of parameters for efficient traffic controller can be performed by genetic algorithm as well. The fuzzy traffic controller is evaluated through the estimation of practical condition with a traffic accident by the traffic simulation for urban expressway in the study. The rules for the fuzzy control can be updated with the knowledge about traffic control for accident, as the structure of fuzzy control is flexible. The fuzzy controller for traffic accident condition is applied and evaluated with the traffic simulation. The advanced inflow controller provides the efficient traffic on the urban expressway even with the complexity even in the real world. Finally, it would be confirmed that the fuzzy control with knowledge acquisition is effective as traffic control for urban expressway.

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