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.

中文翻译：

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协同车辆基础设施中城市交通主动控制的研究

城市交叉口控制主要承担两项任务：交通安全和交通效率。传统的十字路口控制模型和方法不足以提高交通效率，这是由目前交通需求的增加和需求的复杂性组成的。在本文中，我们基于协作车辆基础设施的先进技术，提出了一种称为ATCM的新型模型和方法。本文基于协同车辆基础设施的先进技术，提出了一种新型的主动交通控制模型（ATCM）。ATCM将相交控制模型变量从传统的二维增加到五个维度。它从道路设计者和管理者的角度重塑了交叉路口控制，因此可以实现更加灵活和高效的交通控制。为此，构建了一个多变量主动交通控制模型，其中包括道路速度，车道控制，顺序，阶段和绿灯时间。为此模型设计了D双层优化方法。该优化方法的第一部分结合了速度控制和动态相序控制。第二部分是通过将车道控制和动态相序控制相结合来实现的。通过进行全面的实验，结果表明所提出的方法比传统方法更具灵活性和效率。该优化方法的第一部分结合了速度控制和动态相序控制。第二部分是通过将车道控制和动态相序控制相结合来实现的。通过进行全面的实验，结果表明所提出的方法比传统方法更具灵活性和效率。该优化方法的第一部分结合了速度控制和动态相序控制。第二部分是通过将车道控制和动态相序控制相结合来实现的。通过进行全面的实验，结果表明所提出的方法比传统方法更具灵活性和效率。