城市路网交通控制参数的优化准则

D. V. Lipatkin, A. Kashtalinsky
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引用次数: 0

摘要

交通综合体管理的数字化转型和俄罗斯联邦城市引入智能交通系统的步伐的增长,实现了寻找优化城市道路网络交通灯调节参数的通用标准的问题。在本文中,提出了一个在控制区域的平均行程时间,并将其加权作为优化网络管理的标准。该准则的价值在于其通用性,以及在获取初始数据方面对实际路段路网进行计算的基本技术可行性。此外,本文还强调了在各种条件下确定该参数的根本重要性。为了验证本文所考虑准则的有效性,我们在SUMO环境下进行了模型实验,在不同的入路交通流强度下,对街道网络上的几种控制方法进行了多次实验。在实验数据的基础上,得到了所提出的优化准则对控制方式和入路总流量的依赖关系。评价了该标准的可靠性。应用本准则计算交通灯管制的参数,可让您选择最优的参数,并在未来为在城市街道和道路网络上实施自动交通灯控制提供反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing criterion for the traffic control parameters on the urban road network
The digital transformation of the management of the transport complex and the growth of the pace of introduction of intelligent transport systems in the cities of the Russian Federation actualize the issue of finding a universal criterion for optimizing the parameters of traffic light regulation on the urban road network. In this article, as a criterion for optimizing network management, an average value of the travel time in the control area, weighted by the length of the path traveled, is proposed. The value of this criterion lies in the universality, as well as the fundamental technical feasibility of its calculation for a real section of the road network in terms of obtaining initial data. In addition, the article emphasizes the fundamental importance of determining this parameter for various conditions. In order to confirm the effectiveness of using the criterion considered in the article, a model experiment was conducted in the SUMO environment, involving a number of experiments for several control methods on the street network at different intensities of incoming traffic flows. On the basis of experimental data, the dependences of the proposed optimization criterion on control methods and the total volume of incoming traffic flows are obtained. The reliability of the criterion was evaluated. The application of the presented criterion in calculating the parameters of traffic light regulation allows you to select the optimal parameters and in the future provide feedback on the implementation of automatic traffic light control on the street and road networks of cities.
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