基于Vague集的道路交通状态决策信息融合  

Road Traffic State Decision Information Fusion Based on Vague Set

作　　者：刘澜[1] 戢晓峰[1] 

机构地区：[1]西南交通大学交通运输学院,四川成都610031

出　　处：《公路交通科技》2009年第5期112-116,共5页Journal of Highway and Transportation Research and Development

基　　金：国家高技术研究发展计划(八六三计划)资助项目(2006AA11Z206);四川省学术和技术带头人培养资金项目(2008(24)号)

摘　　要：为了获取更加合理、准确的交通状态决策信息,针对交通状态决策信息的多源、模糊、时变特性,基于vague集建立了浮动车、感应线圈与人工报告作为信息源的模糊信息融合模型,能够实现路段与区域路网的交通状态判别。给出了一个路段多源交通状态决策信息融合的算例,验证了该方法的有效性。该方法同时为主客观信息融合提供了一种实现途径。In order to acquire travel state decision information more rational and reliable, according to the muhisource, fuzzy and time-varying characteristics of travel state decision information, a fuzzy information fusion model which collects multi-source information from floating car, inductive loop and artificial report based on vague set was proposed to identify the travel state of links and regional network. An algorithmic example of multi-source travel state decision information fusion was provided to show the validation of the effectiveness of the proposed method. This method also provides a realization approach for information fusion of subjective information and objective information.

关 键 词：智能运输系统 交通状态决策信息融合 VAGUE集 交通信息 多源信息 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]