研究可扩展交通流模型的元胞自动机框架

Ourania Hatzi, S. Thomas, V. Dalakas, M. Nikolaidou, D. Anagnostopoulos
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引用次数: 4

摘要

从统计物理学中引入交通流建模的方法,如元胞自动机模型,使大型交通网络的模拟比实时更快。这种努力面临的一个关键问题是网络模型的可扩展性。本文讨论了用于道路网络和高速公路车辆交通流微观仿真的元胞自动机框架的开发,并在MATLAB上实现。为了提供可扩展性、参数化和与仿真规则的独立性,所提出的模型的模块化得到了重视。我们的目标是通过在模型中包含几个参数来适应交通关键属性的研究,并促进分层模块化交通模型的构建和替代仿真规则集的实验。这种综合方法的第一步是通过提出数值结果和比较来验证所提出的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cellular automata framework for studying expandable traffic flow models
The introduction of methods from statistical physics for traffic flow modelling, such as cellular automata models, enabled the faster than real time simulation of large traffic networks. A key issue faced by such efforts is the expandability of the network model. This paper discusses the development of a cellular automata framework for micro-simulation of vehicle traffic flow in road networks and highways, which was implemented on MATLAB. Attention has been paid to the modularity of the proposed model, in order to provide not only expandability, but also parameterization and independency from simulation rules. Our goal is to accomodate the study of traffic critical properties by including several parameters in the model and facilitate the construction of hierarhical modular traffic models and the experimentation with alternative simulation rulesets. The first step of this integrated methodology is to validate the proposed framework, by presenting numerical results and comparisons.
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