A Hyperpath-based Network Generalized Extreme-value Model for Route Choice under Uncertainties
A Hyperpath-based Network Generalized Extreme-value Model for Route Choice under Uncertainties
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DOI：
10.1016/j.trc.2015.05.015
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发表时间：
2015-10
期刊：
影响因子：
--
通讯作者：
Jiangshan Ma;D. Fukuda
中科院分区：
文献类型：
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作者：
Jiangshan Ma;D. Fukuda
以往的路线选择研究处理随机性的不确定性，但是，有人认为，其他不确定性存在随机效应之外。作为不确定条件下路径选择的一般建模框架，本文提出了一种结合超路径和网络广义极值的路段选择模型的路径选择模型。考虑到旅行时间的不确定性，对拟议框架内的指定模型进行了数值研究。建模框架可能是有帮助的，在各种研究背景下处理随机性和其他非概率的不确定性，不能准确地感知。
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.