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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

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【作者】 戢晓峰刘澜何增辉

【Author】 JI Xiao-feng1,2 LIU Lan2 HE Zeng-hui2 1.Faculty of Transportation Engineering,Kunming University of Science and Technology,Kunming 650224,China 2.College of Traffic and Transportation, Southwest Jiaotong University,Chengdu 610031,China

【机构】 昆明理工大学,交通工程学院西南交通大学,交通运输学院

【摘要】 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。

【Abstract】 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.

【基金】 国家“863”高技术研究发展计划资助项目(2006AA11Z206)
  • 【文献出处】 交通运输工程与信息学报 ,Journal of Transportation Engineering and Information , 编辑部邮箱 ,2009年03期
  • 【分类号】U491.1
  • 【被引频次】39
  • 【下载频次】571
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