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基于模糊推理的换车道模型
引用本文:王飞雄,刘伟铭.基于模糊推理的换车道模型[J].交通与计算机,2010,28(2):84-87.
作者姓名:王飞雄  刘伟铭
作者单位:华南理工大学土木与交通学院,广州,510640
摘    要:微观交通仿真在交通系统分析和管理方面是1种安全、有效的工具。在交通微观仿真中,用变换车道表现驾驶员行为是1个非常重要的方面;然而,以往的许多换车道模型并没有考虑驾驶员行为的不确定性和认知性。文中利用模糊推理来表现这种不确定性和认知性,从而使换车道行为更加符合现实。通过实际观察数据与模糊推理的微观仿真模拟的结果比较,表明该模型是可行的,有效的。

关 键 词:换道模型  模糊推理  驾驶行为

Lane Changing Model Based on Fuzzy Inference System
WANG Feixiong,LIU Weiming.Lane Changing Model Based on Fuzzy Inference System[J].Computer and Communications,2010,28(2):84-87.
Authors:WANG Feixiong  LIU Weiming
Institution:(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,China)
Abstract:Microscopic traffic simulation is a safe and efficient tool in transport system analysis and management.The model of driver's behavior is a decisive factor for traffic simulation.Lane changing phenomenon is vital in representing individual vehicle behavior in microscopic traffic simulation.However,many lane changing models do not consider the uncertainties and perceptions in human behaviors that are involved in modeling lane changing.In this study,fuzzy reasoning in lane changing model is introduced to reflect these uncertainties and perceptions to represent lane changing behaviors more realistically.The comparison of simulated results with observed data indicates that the model is feasible and effective.
Keywords:lane changing model  fuzzy inference  driver behavior
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