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Research of Cellular Automata Traffic Flow Model for Variable Traffic Flow Density

机译:可变交通流量密度的蜂窝自动机流量模型研究

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摘要

Freeway traffic flow and safety are the main subjects of the current highway traffic operation in an intelligent transportation system. The traffic flow model and traffic safety evaluation model were studied in this paper to analysis the traffic operation under a new traffic rule of variable traffic flow density. The classic car-following model is used to describe the traffic flow under the intelligent traffic system, and the variable traffic flow density is derived according to the constraints of the left overtaking. The corresponding interval values of average speed discrete degree are obtained to score the traffic safety degree. Then cellular automata is used to simulate the model, finding that traffic flow remains unchanged, while the safety of the traffic increases.
机译:高速公路交通流量和安全是智能运输系统中当前公路交通运行的主要科目。在本文中研究了交通流量模型和交通安全评估模型,以分析了在可变流量流密度的新交通规则下的交通运行。经典的Car-Direct型号用于描述智能流量系统下的业务流量,并且可变流量密度根据左超车的约束导出。获得平均速度离散度的相应间隔值以进行交通安全程度。然后,蜂窝自动机用于模拟模型,发现交通流量保持不变,而流量的安全性增加。

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