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A Hyperpath-based Network Generalized Extreme-value Model for Route Choice under Uncertainties

机译:不确定性下基于超路径的网络广义极值选择模型

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Previous route choice studies treated uncertainties as randomness; however, it is argued that other uncertainties exist beyond random effects. As a general modeling framework for route choice under uncertainties, this paper presents a model of route choice that incorporates hyperpath and network generalized extreme-value-based link choice models. Accounting for the travel time uncertainty, numerical studies of specified models within the proposed framework are conducted. The modeling framework may be helpful in various research contexts dealing with both randomness and other non-probabilistic uncertainties that cannot be exactly perceived.
机译:先前的路线选择研究将不确定性视为随机性。但是,有人认为除了随机效应外还存在其他不确定性。作为不确定性条件下路由选择的通用建模框架,本文提出了一种路由选择模型,该模型结合了超路径和基于网络的基于极值的广义链路选择模型。考虑到旅行时间的不确定性,在提议的框架内对指定模型进行了数值研究。该建模框架可能在处理随机性和其他无法准确感知的其他非概率不确定性的各种研究环境中有所帮助。

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