Kerner三相交通理论下具有时间间隔依赖随机化的元胞自动机模型

B. Jia, Xingang Li, Tao Chen, R. Jiang, Ziyou Gao
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引用次数: 43

摘要

本文提出了一种新的元胞自动机交通流模型,该模型随机化效果随着时间间隔的减小而增强,长时间停车的车辆具有较大的随机化概率。同时考虑了周期边界条件和开边界条件。在周期边界条件下,详细研究了同步流动的基本图和特性。在开放边界条件下,分析了入口匝道引起的不同拥堵模式。这一结果与之前发表的著名的Kerner三相流量理论的结果是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cellular automaton model with time gap dependent randomisation under Kerner's three-phase traffic theory
In this article, a new cellular automaton traffic flow model, in which randomisation effect is enhanced with the decrease of time gap and the long time stopped vehicle has large randomisation probability, is presented. Both periodic and open boundary conditions are considered. Under periodic boundary condition, the fundamental diagram and the properties of synchronised flow are studied in detail. Under open boundary condition, different congested patterns induced by an on-ramp are analysed. The results are consistent with the well-known results of Kerner's three-phase traffic theory published before.
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来源期刊
Transportmetrica
Transportmetrica 工程技术-运输科技
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