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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Study on discrete boundary-feedback-control strategy for traffic flow based on Macroscopic Fundamental Diagram
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Study on discrete boundary-feedback-control strategy for traffic flow based on Macroscopic Fundamental Diagram

机译：基于宏观基础图的交通流量离散边界反馈控制策略研究

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In this work, we proposed a discrete boundary-feedback-control strategy for urban traffic flow based on Macroscopic Fundamental Diagram. Firstly, the road network is divided into several sub-regions according to the degree of correlation of road intersections, and then the Macroscopic Fundamental Diagram characteristics of each traffic sub-region are analyzed to obtain the optimal critical value of vehicles in each sub-region. For a single traffic sub-region, when the number of accumulated vehicles in the sub-region exceeds the optimal threshold, we control the entry and exit of the vehicle at the boundary of the traffic sub-region by adjusting the traffic timing of the traffic lights at the boundary of the sub-region. The Vissim simulation experiment was conducted to verify that the vehicle delay in the road network was significantly reduced with the discrete boundary-feedback-control strategy, as well, the road congestion was alleviated, the travel efficiency was improved, and the road network traffic operation status was improved. (C) 2019 Elsevier B.V. All rights reserved.
机译：在这项工作中，我们提出了基于宏观基础图的城市交通流量的离散边界反馈控制策略。首先，根据道路交叉点的相关程度，道路网络被分成几个子区域，然后分析每个流量子区域的宏观基本图特性以获得每个子区域中的车辆的最佳临界值。对于单个流量子区域，当子区域中的累积车辆的数量超过最佳阈值时，我们通过调整流量的交通时间来控制车辆边界的车辆的入口和退出灯在子区域的边界处。进行Vissim仿真实验，以验证道路网络中的车辆延迟随着离散的边界反馈控制策略而显着降低，同样，降低了道路拥堵，提供了行程效率，以及道路网络交通运行状态得到改善。 （c）2019 Elsevier B.v.保留所有权利。

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