ファジィ化微視的モデルによる渋滞解析を目的とした道路交通シミュレータ

概要

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This paper presents a new road-traffic simulation system with a microscopic model for analyzing traffic jams over wide areas (MITRAM). In this system, we adopted a new type of fuzzy model for vehicle behavior (FMV) and a road model that utilizes the clothoid curves (RM). Moreover, we have developed a hardware fuzzy inference unit (FIU) to process the fuzzy inferences of the FMV. Combination of the FMV and RM can contribute to simulate accurately various realistic traffic conditions such as avoiding the parked vehicles and passing vehicles. The fuzzy inference on the FIU is also significantly faster than the classical computer. Functions and performances of the FMV, FIU and RM have been verified respectively. MITRAM composed of hardware pararell FIUs and classical computers systems is available to carry out a road-traffic simulation over wide areas in real time and visual systems through 2D and 3D multi-windows systems. This paper describes the concept, functions, performances, and architecture of MITRAM.
日本シミュレーション学会の論文
1997-09-15