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基于Vague集的道路交通状态决策信息融合
引用本文:刘澜,戢晓峰.基于Vague集的道路交通状态决策信息融合[J].公路交通科技,2009,26(5).
作者姓名:刘澜  戢晓峰
作者单位:西南交通大学,交通运输学院,四川,成都,610031
基金项目:国家高技术研究发展计划(863计划),四川省学术和技术带头人培养资金项目 
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。

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

Road Traffic State Decision Information Fusion Based on Vague Set
LIU Lan,JI Xiaofeng.Road Traffic State Decision Information Fusion Based on Vague Set[J].Journal of Highway and Transportation Research and Development,2009,26(5).
Authors:LIU Lan  JI Xiaofeng
Institution:School of Traffic and Transportation;Southwest Jiaotong University;Chengdu Sichuan 610031;China
Abstract:In order to acquire travel state decision information more rational and reliable,according to the multi-source,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 v...
Keywords:Intelligent Transport Systems  travel state decision information fusion  vague set  traffic information  multi-source information  
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