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为了更好地判别路网交通状态,提出了基于模糊综合评判理论的路网交通状态判别方法。首先对路网交通状态进行了划分,然后选择了路网交通状态评价指标,并确定了评价指标的隶属函数,进而确定了权重向量,建立了基于模糊综合评判理论的路网交通状态判别模型,最后利用VISSIM仿真软件建立了某真实路段的仿真模型对本文建立的判别模型进行了仿真验证,验证结果表明,基于模糊综合评判理论的路网交通状态判别模型能够较好的判别路网交通状态,可以为交通管理者提供信息基础和决策支持。
In order to better identify the traffic conditions of the road network, a method of traffic status identification based on fuzzy comprehensive evaluation is proposed. Firstly, the traffic conditions of the road network are divided, and then the road network traffic status evaluation index is selected, and the membership function of the evaluation index is determined. Then the weight vector is determined, and the traffic network state identification model based on the fuzzy comprehensive evaluation theory is established. Finally, a simulation model of a real road section is established by using VISSIM simulation software. The discriminant model established in this paper is verified by simulation. The result of the verification shows that the road traffic state discriminant model based on fuzzy comprehensive evaluation theory can better distinguish the road traffic conditions, Traffic managers can provide information and decision support.