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Model representation and decision-making in an ever-changing world: The role of stochastic process models of transportation systems.

机译:在不断变化的世界中进行模型表示和决策:交通系统随机过程模型的作用。

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摘要

We review and advance the state-of-the-art in the modelling of transportation systems as a stochastic process. The conceptual and theoretical basis of the approach is explained in detail. A variety of examples are given to motivate its use in the field. While the examples cover a wide range of modelling philosophies, in order to provide focus they are restricted to modelling a special class of problems involving driver route choice in networks. Our overall objective is to establish the applicability of this approach as a 'unifying framework' for modelling approaches involving dynamic and stochastic elements, developing further the ideas put forward in Cantarella & Cascetta (Transportation Science 29, 305-329, 1995). Directions for further development and research are identified.
机译:我们回顾并推进交通系统建模的随机过程。详细说明了该方法的概念和理论基础。给出了各种示例以激发其在该领域的使用。尽管示例涵盖了广泛的建模原理,但为了提供重点,它们仅限于对涉及网络中驾驶员路线选择的特殊问题建模。我们的总体目标是为作为涉及动态和随机因素的建模方法的“统一框架”建立这种方法的适用性,并进一步发展Cantarella和Cascetta提出的思想(Transportation Science 29,305-329,1995)。确定了进一步发展和研究的方向。

著录项

  • 作者

    Watling, DP; Cantarella, GE;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 en
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