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Aggregation, disaggregation and decomposition methods in traffic assignment: historical perspectives and new trends
Transportation Research Part B: Methodological ( IF 6.8 ) Pub Date : 2020-07-08 , DOI: 10.1016/j.trb.2020.06.008
Mark P.H. Raadsen , Michiel C.J. Bliemer , Michael G.H. Bell

In this study we provide a comprehensive review of the existing literature on (dis)aggregation and decomposition methods in traffic assignment and classify them based on their characteristics. The study takes on two different perspectives. First, we explore existing methods and relate them to one or more traffic assignment components. It is found that there exists a clear separation between a demand modelling point of view, i.e., travel demand and (geographical) zoning on the one hand, and supply modelling-oriented methods, i.e. network topology and network loading, on the other. Further, we explore the existing literature on the interface between demand and supply, i.e., connector and centroid placement which is to be considered a special type of aggregation. It is found this aspect of traffic assignment has received relatively little attention in this context, even though it is shown to be of significant impact on modelling results. The second perspective in this study places the discussed aggregation methodologies in the broader perspective of clustering procedures. We do not necessarily explore clustering methods as such but mainly look at the classification of different types of clustering methods which can be projected onto the traffic assignment domain and aggregation procedures in particular. It is shown that most existing methods can be classified as supervised – or classification based – clustering procedures while relatively few studies explore other known approaches such as semi-supervised or unsupervised clustering techniques. Lastly, we discuss how aggregation techniques could be deployed to construct multi-scale modelling environments. There is however a lack of methodology to construct such models consistently. Findings are presented via an objective classification framework for existing (dis)aggregation and decomposition methods.



中文翻译:

交通分配中的汇总,分解和分解方法:历史观点和新趋势

在这项研究中,我们提供了有关交通分配中(分解)聚合和分解方法的现有文献的全面综述,并根据其特征对它们进行分类。该研究有两种不同的观点。首先,我们探索现有方法,并将其与一个或多个流量分配组件相关联。已经发现,一方面需求建模的观点(即旅行需求和(地理)分区)与面向供应模型的方法(即网络拓扑和网络负载)之间存在明显的分离。此外,我们探索了有关需求与供给之间接口的现有文献,即连接器和质心放置,这被认为是一种特殊的聚集。发现交通分配的这一方面在这种情况下受到的关注相对较少,即使事实表明它对建模结果也有重大影响。本研究的第二个角度是将讨论的聚合方法放在聚类过程的更广泛角度。我们并不一定要探索这样的聚类方法,而是主要着眼于不同类型的聚类方法的分类,这些聚类方法可以投影到流量分配域上,尤其是聚合过程。结果表明,大多数现有方法都可以归类为有监督的或基于分类的聚类程序,而很少有研究探索其他已知方法,例如半监督或无监督的聚类技术。最后,我们讨论如何使用聚合技术来构建多尺度建模环境。但是,缺乏始终如一地构建此类模型的方法。通过客观分类框架介绍现有(分解)聚合和分解方法的发现。

更新日期:2020-07-09
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