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首页> 外文期刊>Transportation Research Part B: Methodological >Robust dynamic bus controls considering delay disturbances and passenger demand uncertainty
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Robust dynamic bus controls considering delay disturbances and passenger demand uncertainty

机译:考虑到延误干扰和乘客需求不确定性的鲁棒动态公交车控制

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This paper proposes a robust dynamic control mechanism for bus transit system, taking account of variations in congestion delays and passenger demand, and combines bus holding and operating speed control strategies. By using a prespecified uncertainty set, we propose a state space model for bus motion with delay disturbances and passenger demand uncertainties. According to the Lyapunov function analysis method, we design a robust dynamic control based on the state-feedback scheme as the bus control to achieve the robust stability of the bus transit system, which effectively reduces the bus bunching phenomenon. Furthermore, we formulate a nonlinear optimal control problem to design the robust optimal bus control, which not only reduces the bus bunching, but also improves the schedule adherence and headway regularity of bus service lines. To handle the complexity of the nonlinear optimal control problem with uncertain parameters and disturbances, we reduce it to a convex optimization problem by the minimization of an upper bound on the objective function. The problem is solved in a polynomial time and satisfies the practical real time requirement. Numerical examples are presented to validate the effectiveness of the model and control methods. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文提出了一种鲁棒的公交系统动态控制机制,该机制考虑了交通拥堵延迟和乘客需求的变化,并结合了公交车的保持和运行速度控制策略。通过使用预先确定的不确定性集,我们提出了具有延迟扰动和乘客需求不确定性的公共汽车运动状态空间模型。根据李雅普诺夫函数分析方法,设计了一种基于状态反馈方案的鲁棒动态控制作为公交控制,以实现公交系统的鲁棒稳定性,有效地减少了公交车的聚束现象。此外,我们提出了一种非线性最优控制问题,以设计鲁棒的最优公交车控制,这不仅减少了公交车的拥挤,而且还改善了公交线路的时间表依从性和车距规律。为了处理具有不确定参数和扰动的非线性最优控制问题的复杂性,我们通过最小化目标函数的上限将其简化为凸优化问题。该问题可以在多项式时间内解决,并且可以满足实际的实时要求。通过数值算例验证了模型和控制方法的有效性。 (C)2019 Elsevier Ltd.保留所有权利。

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