Fuzzy Logic Based Lane Change Model for Microscopic Traffic Flow Simulation

被引：7
|
作者：
Errampalli, Madhu [1 ]
Okushima, Masashi [2 ]
Akiyama, Takamasa [2 ]
机构：
[1] Gifu Univ, Grad Sch Engn, 1-1 Yanagido, Gifu 5011193, Japan
[2] Gifu Univ, Dept Civil Engn, Gifu 5011193, Japan
来源：
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2008年 / 12卷 / 02期
关键词：
fuzzy reasoning; lane change model; traffic simulation; driver behaviour;
D O I：
10.20965/jaciii.2008.p0172
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Lane changing phenomenon is vital in representing individual vehicle behaviour in microscopic traffic simulation, yet many lane change models do not consider the uncertainties and perceptions in human behaviour that are involved in modelling lane changing. In the present study, fuzzy reasoning in lane changing model is introduced to reflect these uncertainties and perceptions to represent lane changing behaviour more realistically. The comparison of simulated results with observed data indicated that fuzzy reasoning represents driver behaviour more realistically than standard modelling. The effectiveness of the proposed technique is demonstrated in a real urban network with bus lane policy.
引用
收藏
页码：172 / 181
页数：10
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