A Product-form C-logit Stochastic Traffic Assignment Model

Ning Lv, Wen-yi Zhang, Jihui Ma
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Abstract

As an important member of the stochastic traffic assignment models, the C-logit model has been widely applied in traffic network analysis as well as the development of various modern intelligent traffic managements. It provides a simple solution to address the path overlapping problem existed in classical logit model, while inheriting the simplicity of the latter. However, it is shown in this paper that the C-logit model can easily degrade to the logit model when heavy (or even mild) traffic congestion emerges on a road network. Such degeneracy might stem from the summation formulation of the measurable path cost in the C-logit model. For this reason, this paper suggests a revised (i.e., product-form) formulation for measurable path cost, which is able to resist such degeneracy. The resultant new C-logit model is expected to provide a more precise option for stochastic road network modeling and analysis.
一个乘积型C-logit随机交通分配模型
C-logit模型作为随机交通分配模型的重要成员,已广泛应用于交通网络分析以及各种现代智能交通管理的发展。它在继承经典logit模型的简洁性的同时,为解决经典logit模型中存在的路径重叠问题提供了一种简单的解决方案。然而,本文表明,当路网出现严重(甚至轻微)交通拥堵时,C-logit模型很容易退化为logit模型。这种退化可能源于C-logit模型中可测量路径成本的求和公式。为此,本文提出了一种修正的(即产品形式)可测量路径成本公式,该公式能够抵抗这种退化。由此产生的新的C-logit模型有望为随机道路网络建模和分析提供更精确的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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