Fuzzy Data Fusion for Updating Information in Modeling Drivers' Choice Behavior

被引：0
|
作者：
Dell'Orco, Mauro [1 ]
Marinelli, Mario [1 ]
机构：
[1] Tech Univ Bari, Dept Highways & Transportat, Bari, Italy
来源：
EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2009年 / 5755卷
关键词：
Fuzzy Fusion; Uncertainty Theory; ATI Systems; driver behaviour; route choice model;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a method for fusing fuzzy data relevant both to drivers' experience and provided information is presented. Expected travel time is then updated according to the results of fusion. The method takes into account the "compatibility" of data originating from different sources, and provides information about acceptability of results. Influence of uncertainty on drivers' compliance with provided information is examined in detail, according to uncertainty-based Information Theory.
引用
收藏
页码：1075 / 1084
页数：10
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