论文标题
事件触发的分布式模型预测控制，用于排在运输系统中的集线器
Event-Triggered Distributed Model Predictive Control for Platoon Coordination at Hubs in a Transport System
论文作者
论文摘要
本文考虑了大规模运输系统的基于集线器的排协调问题，该系统在该系统中具有单独的实用功能以优化。提出了一种事件触发的分布式模型预测控制方法，以求解单个卡车中心的等待时间的最佳调度。在这个分布式框架中，允许卡车独立决定他们的等待时间，并且在卡车之间只有有限的信息。每个卡车的公用事业功能中都包含了排队收益的预测奖励和在集线器上等待的预测成本。在瑞典道路网络上的一百辆卡车的模拟中证明了协调方法的性能。
This paper considers the problem of hub-based platoon coordination for a large-scale transport system, where trucks have individual utility functions to optimize. An event-triggered distributed model predictive control method is proposed to solve the optimal scheduling of waiting times at hubs for individual trucks. In this distributed framework, trucks are allowed to decide their waiting times independently and only limited information is shared between trucks. Both the predicted reward gained from platooning and the predicted cost for waiting at hubs are included in each truck's utility function. The performance of the coordination method is demonstrated in a simulation with one hundred trucks over the Swedish road network.
