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首页> 外文期刊>Transport >Research of congestions in urban transport network using cellular automation model / Spūs?i? miesto transporto tinkle tyrimas, taikant l?stelinio automato model? / Исследование перегрузки городской транспортной сети с применением модели клеточного автомат
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Research of congestions in urban transport network using cellular automation model / Spūs?i? miesto transporto tinkle tyrimas, taikant l?stelinio automato model? / Исследование перегрузки городской транспортной сети с применением модели клеточного автомат

机译：基于蜂窝自动化模型/Spūs？I？的城市交通网络拥堵研究miesto transporto tinkle tyrimas，taikant l？stelinio automato模型？ /利用元胞自动机模型研究城市交通网络的拥堵

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The growing demand for transport and communication services leads to more and more important, traffic related and closely associated problems, especially in the city centre, such as traffic congestion, air pollution, noise and some others. When modelling traffic flows in the Kaunas city centre, the simulation models of crossroads were created based on the principle of cellular automaton model, taking into consideration such relevant traffic indicators as the average speed of traffic flow in different streets, traffic intensity, congestions and distributed flows. Operation of cellular automaton model is associated with the improved approach of further vehicle model. Modelling of microscopic traffic flows is based on the brake light–cellular automaton (BL–CA) model. Random functions were made discreet and autocorrelation values of these functions were calculated in this work. Fundamental macroscopic traffic characteristics were obtained. Numerical dependences of the average traffic speed and traffic flow, traffic density and traffic flow, the average traffic speed and density were determined, with a help of which the demand parameters of transport network were evaluated in the Kaunas city centre in certain time intervals.
机译：对运输和通讯服务的需求不断增长，导致与交通相关和紧密相关的问题越来越重要，特别是在城市中心，例如交通拥堵，空气污染，噪音等。在对考纳斯市中心的交通流进行建模时，基于元胞自动机模型的原理创建了十字路口的仿真模型，并考虑了相关的交通指标，例如不同街道上的平均交通流速度，交通强度，拥堵和分布流。元胞自动机模型的操作与进一步的车辆模型的改进方法相关。微观交通流的建模基于制动光细胞自动机（BL–CA）模型。使随机函数谨慎，并在这项工作中计算了这些函数的自相关值。获得了基本的宏观交通特征。确定了平均交通速度和交通流量，交通密度和交通流量，平均交通速度和密度的数值相关性，借助于此，可以在一定的时间间隔内评估考纳斯市中心交通网络的需求参数。

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