In this paper, the intelligent traffic management within a smart city environment is addressed by developing an ad-hoc model predictive control strategy based on an event-driven formulation. To this end, a constrained hybrid system description is considered for safety verification purposes and a low-demanding receding horizon controller is then derived by exploiting set-theoretic arguments. Simulations are performed on the train-gate benchmark system to show the effectiveness and benefits of the proposed methodology.

中文翻译：

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智能交通管理的后向事件驱动控制策略

本文通过开发基于事件驱动公式的临时模型预测控制策略来解决智能城市环境中的智能交通管理问题。为此，出于安全验证的目的考虑了受约束的混合系统描述，然后通过利用集合理论论证来推导低要求的后退水平控制器。在列车通道基准系统上进行了仿真，以显示所提出方法的有效性和益处。