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多源交通信息条件下的出行行为选择研究
引用本文:郭锦景. 多源交通信息条件下的出行行为选择研究[J]. 交通标准化, 2011, 0(17): 57-61
作者姓名:郭锦景
作者单位:西南交通大学交通运输学院,四川成都,610031
摘    要:在考虑多源交通信息可能导致信息过剩,从而影响决策者出行选择的条件下,引入决策论的思想,通过对多源交通信息方式发布的特点分析,应用模糊物元理论,建立个体出行的行为选择模型,在熵值法确定客观权重的条件下,根据贴近度的大小对决策方案进行选择,克服出行者的主观经验判断。通过实例计算,证明了不确定型决策在多源交通信息影响下出行者路径选择方面的可用性,客观上能为其提供最优的出行路径。

关 键 词:多源交通信息  模糊物元  行为选择模型  熵值法  贴近度

Travel Behavior Choice under Condition of Mutil-Source Traffic Information
GUO Jin-jing. Travel Behavior Choice under Condition of Mutil-Source Traffic Information[J]. Communications Standardization, 2011, 0(17): 57-61
Authors:GUO Jin-jing
Affiliation:GUO Jin-jing(School of Traffic & Transportation,Southwest Jiaotong University,Chengdu 610031,China)
Abstract:Under considering multi-source traffic information is possible to result in excess information so that it will influence the traverlers′ choice,by introducing decision theory and analyzing the characteristics of muti-source traffic modes issued,this paper establishes the behavior choice model based on fuzzy matter-element analysis.The weight is determined by the entropy method,and the decision is chosen through the size of approach degree to overcome behavior subjective experience.Numerical example shows that uncertain decision can reflect the travelers′ route choice behavior under the influence of multi-source traffic information,the optimal travel paths can be provided objectively.
Keywords:muti-source traffic information  fuzzy matter-element  behavior choice model  entropy method  approach degree  
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