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Stochastic user equilibrium with equilibrated choice sets: Part I - Model formulations under alternative distributions and restrictions

机译:具有均衡选择集的随机用户均衡:第一部分-替代分布和约束下的模型公式

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The aim of this paper is to remove the known limitations of Deterministic and Stochastic User Equilibrium (DUE and SUE), namely that only routes with the minimum cost are used in DUE, and that all permitted routes are used in SUE regardless of their costs. We achieve this by combining the advantages of the two principles, namely the definition of unused routes in DUE and of mis-perception in SUE, such that the resulting choice sets of used routes are equilibrated. Two model families are formulated to address this issue: the first is a general version of SUE permitting bounded and discrete error distributions; the second is a Restricted SUE model with an additional constraint that must be satisfied for unused paths. The overall advantage of these model families consists in their ability to combine the unused routes with the use of random utility models for used routes, without the need to pre-specify the choice set. We present model specifications within these families, show illustrative examples, evaluate their relative merits, and identify key directions for further research. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文的目的是消除确定性和随机用户平衡(DUE和SUE)的已知限制,即,仅在DUE中使用成本最低的路由,而在SUE中使用所有允许的路由,而不论其成本如何。我们通过结合两个原则的优点来实现这一点,即在DUE中定义未使用的路由以及在SUE中定义错误的路由,从而使所使用路由的选择集平衡。制定了两个模型族来解决此问题:第一个是允许有界和离散误差分布的SUE的通用版本;第二个是受限SUE模型,其中包含未使用路径必须满足的其他约束。这些模型系列的总体优势在于它们能够将未使用的路由与使用的随机实用模型结合到已使用的路由中,而无需预先指定选择集。我们介绍了这些系列中的模型规格,展示了示例,评估了它们的相对优点,并确定了进一步研究的关键方向。 (C)2015 Elsevier Ltd.保留所有权利。

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