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基于模糊随机理论的驾驶人路径选择模型初步探讨 被引量:1

A elementary study on drivers’ route choice behavior based fuzzy random theory
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摘要 路径选择行为作为交通行为研究的主要内容之一,不仅是研究交通量分配、路网流量的基础,更是掌握交通信息条件下驾驶人出行选择行为变化的关键。本文首先介绍了目前的路径选择行为模型,这些模型大多以严格的路径最短或行驶时间最短作为效用函数,而模糊随机变量能够更好的描述驾驶人的路径选择行为。基于此,本文建立了基于模糊随机理论的驾驶人路径选择行为模型,并通过该模型很好的解释了不同类型的驾驶员做出不同的路径选择的原因。 As a main research of traffic behavior, route choice behavior is not only the base of traffic assignment, but also the key point of drivers' route choice behavior under traffic information. Firstly, the paper introduces present drivers' route choice model, which aims at the shortest-path or min travel time accurately mostly. Fuzzy random theory, on the reverse, explains the behavior in practical. The paper establishes fuzzy random route choice behavior model. Application of this model shows that it .explains different kind of drivers have different route choice behavior.
出处 《机械》 2007年第2期17-19,共3页 Machinery
关键词 路径选择 模糊随机 模型 fuzzy random route choice, mode
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