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Modelling Traffic Flow at an Urban Unsignalised Intersection

机译:对城市无信号交叉口的交通流进行建模

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摘要

This paper proposes a new way to study traffic flow at an urban unsignalised intersection, through detailed space considerations, using cellular automata (CA). Heterogeneity and inconsistency are simulated by incorporation of different categories of driver behaviour and reassignment of categories with given probabilities at each time step. The method is able to reproduce many features of urban traffic, for which gap-acceptance models are less appropriate. Capacities of the minor-stream in a TWSC intersection are found to depend on flow rates of major-streams, also changes with flow rate ratio (FRR=flow rate of near lane: flow rate of far lane). Hence flow rates corresponding to each stream must be distinguished. The relationship between the performance of intersections and other traffic flow parameters is also considered. Vehicle movements in this paper relate to left-side driving, such as found in UK/Ireland. However, rules are generally applicable.
机译:本文提出了一种新的方法,利用细胞自动机(CA),通过详细的空间考虑,研究城市无信号交叉路口的交通流量。通过合并不同类别的驾驶员行为并在每个时间步长以给定的概率重新分配类别,来模拟异质性和不一致。该方法能够重现城市交通的许多特征,对于这些特征而言,差距接受模型不太合适。 TWSC交叉口的次要流量能力取决于主要流量,并且也随流量比率(FRR =近车道流量:远车道流量)而变化。因此,必须区分与每个流相对应的流速。还考虑了交叉路口的性能与其他交通流参数之间的关系。本文中的车辆运动与左侧行驶有关,例如在英国/爱尔兰。但是,规则通常适用。

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