基于模糊推理的区域路网交通状态分析方法

Regional Traffic State Analysis Methods Based on Fuzzy Inference

为准确判别区域路网的交通状态,对区域路网交通流的宏观特性进行了详细分析,建立了路网交通状态评估指标体系。结合区域路网的拓扑结构与交通流特征,基于模糊推理技术提出了路网交通状态分析方法。以城市主干道路网为例,验证了路网交通状态分析方法的有效性。该方法可应用于在线交通状态分析和历史数据库交通运行特征的提取,为交通管理决策提供基础信息。

In order to analyze the traffic state of regional road network accurately, the macroscopic characteristics of regional traffic flow were discussed in detail, and then,an identification index system was proposed. Mean while, a travel state analysis method was proposed based on the fuzzy inference theory. The numerical result of an arterial road network was testified for the effectiveness of the proposed methods. The methods proposed in this paper could be applied to the on-line travel state analysis and to abstracting the traffic information in historical database in order to provide decision support for traffic management.