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Research on Urban Traffic Active Control in Cooperative Vehicle Infrastructure

机译:协同车辆基础设施中城市交通积极控制研究

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Urban intersection control mainly undertakes two tasks: traffic safety and traffic efficiency. Traditional intersection control models and methods have been insufficient in improving traffic efficiency, which is composed of the increase in traffic demand and the complexity of demand at present. In this paper, we propose a novel model and method called ATCM, which is based on the advanced technology of cooperative vehicle infrastructure. In this paper, a novel active traffic control model (ATCM) is proposed, which is based on the advanced technology of cooperative vehicle infrastructure. ATCM increases the intersection control model variables from the traditional two dimensions to five dimensions. It reshapes intersection control from the perspective of road designers and managers, so it can achieve more flexible and efficient traffic control. To this end, a multivariable active traffic control model is constructed, which includes road speed, lane control, sequence, phase, and green light time; a D-double layer optimization method is designed for this model. The first part of this optimization method combines speed control and dynamic phase sequence control. The second part is realized by the combination of lane control and dynamic phase sequence control. By conducting comprehensive experiments, the results demonstrate that the proposed approach is more flexible and efficient than traditional methods.
机译:城市交叉控制主要进行两项任务:交通安全和交通效率。传统的交叉点控制模型和方法在提高交通效率方面不足,这是由交通需求的增加和目前需求的复杂性组成。在本文中,我们提出了一种名为ATCM的新型模型和方法,基于合作车辆基础设施的先进技术。本文提出了一种新的主​​动交通管制模型(ATCM),其基于协同车辆基础设施的先进技术。 ATCM从传统的两个维度增加到五个维度的交叉点控制模型变量。它从道路设计师和经理的角度重塑交叉控制,因此可以实现更灵活和高效的流量控制。为此,构建了一种多变量的活动流量控制模型,包括道路速度,车道控制,序列,相位和绿色光线; D双层优化方法是为该模型设计的。该优化方法的第一部分结合了速度控制和动态相位序列控制。第二部分是通过车道控制和动态相位序列控制的组合来实现的。通过进行综合实验,结果表明,所提出的方法比传统方法更加灵活和高效。

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