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Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control

机译:基于宏观基础图的模型预测周边控制稳定城市规模道路交通网络

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Traffic control for large-scale urban road networks remains a challenging problem. Aggregated dynamical models of city-scale traffic, based on the macroscopic fundamental diagram (MFD), enable development of model-based perimeter control methods. Involving actuation over aggregated traffic flows, perimeter control specifies an effective and practicable congestion control solution. In this paper, we propose nonlinear model predictive perimeter control schemes, for regulation and economic optimization objectives, with closed-loop stability by construction. Macroscopic and microscopic simulations demonstrate the performance and domain of attraction properties of the proposed formulations. Results indicate potential of the methods for efficient and reliable control of city-scale traffic.
机译:大型城市道路网络的交通管制仍然是一个具有挑战性的问题。基于宏观基础图(MFD)的城市规模流量的聚合动态模型,实现了基于模型的周边控制方法的开发。涉及对聚合的交通流量进行致动,周边控制指定了有效和可行的拥塞控制解决方案。本文提出了非线性模型预测周边控制方案,用于调节和经济优化目标,通过施工闭环稳定性。宏观和显微模拟展示了所提出的配方的吸引性能的性能和领域。结果表明了城市规模交通有效可靠地控制的方法的潜力。

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