Traffic Congestion Control Using Distributed Extremum Seeking and Filtered Feedback Linearization Control Approaches
Traffic Congestion Control Using Distributed Extremum Seeking and Filtered Feedback Linearization Control Approaches
复制标题
基于分布极值求和滤波反馈线性化控制方法的交通拥堵控制
DOI：
10.1109/lcsys.2022.3229267
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发表时间：
2023
影响因子：
3
通讯作者：
Pouria Karimi Shahri;B. Homchaudhuri;S. Pulugurtha;A. Mesbah;A. Ghasemi
中科院分区：
文献类型：
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作者：
Pouria Karimi Shahri;B. Homchaudhuri;S. Pulugurtha;A. Mesbah;A. Ghasemi
本文提出了一种基于分层基础设施的高速公路主流交通流管理控制算法。在上层，采用分布式极值寻求控制方法来确定拥挤小区中车辆的最佳密度。定义局部目标函数，使目标单元内的平均流量最大化以解决拥塞问题，并使其与上游单元的流量差最小化以防止拥塞的反向传播。在底层，使用分布式滤波反馈线性化控制器来更新传达给车辆的建议速度，以便在每个单元中实现由上层确定的期望密度。我们采用METANET模型来描述交通网络的聚合动态。我们通过MATLAB-VISSIM COM接口测试了这些控制器的性能。结果表明，在不确定的大规模交通网络中，所设计的分布式控制器可以在未知干扰下获得理想的闭环性能。
This letter presents a hierarchical infrastructure-based control algorithm to manage mainstream traffic flow on freeways. At the upper level, a distributed Extremum-Seeking control approach is employed to determine the optimal density of vehicles in a congested cell. The local objective function is defined such that the average flow within the target cell is maximized to resolve the congestion, and the flow difference with its upstream cell is minimized to prevent back-propagating the congestion. At the lower level, a distributed Filtered Feedback Linearization controller is used to update the suggested velocity communicated to the vehicles so that the desired density determined by the upper level can be achieved in each cell. We adopted the METANET model to describe the aggregated dynamics of the traffic network. We tested the performance of these controllers via a MATLAB-VISSIM COM interface. The results demonstrate that the designed distributed controllers can achieve the desired closed-loop performance despite unknown disturbances in an uncertain large-scale traffic network.