A stochastic cellular automaton model for traffic flow with multiple metastable states
A stochastic cellular automaton model for traffic flow with multiple metastable states
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DOI：
10.1088/0305-4470/37/9/003
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发表时间：
2004-03-05
期刊：
影响因子：
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通讯作者：
Schadschneider, A
中科院分区：
文献类型：
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作者：
Nishinari, K;Fukui, M;Schadschneider, A
通过对Burgers元胞自动机模型和Nagel-Schreckenberg元胞自动机模型的扩展，提出了一种新的包含慢启动效应和驾驶员视角的交通流随机元胞自动机模型.该模型的流量-密度关系在从自由交通到拥挤交通的过渡密度附近存在多个亚稳态分支，在基本图上形成一个较宽的散射区。这些分支的稳定性和它们的速度分布进行了明确的数值模拟研究。
A new stochastic cellular automaton (CA) model of traffic flow, which includes slow-to-start effects and a driver's perspective, is proposed by extending the Burgers CA and the Nagel-Schreckenberg CA model. The flow-density relation of this model shows multiple metastable branches near the transition density from free to congested traffic, which form a wide scattering area in the fundamental diagram. The stability of these branches and their velocity distributions are explicitly studied by-numerical simulations.