论文标题
交通网络中连接的自动车辆的自触发协调控制
Self-Triggered Coordination Control of Connected Automated Vehicles in Traffic Networks
论文作者
论文摘要
在本文中，提出了一个自触发的方案，以最佳控制交通网络冲突区域的连接和自动化车辆（CAV）的交通流量，其主要目的是减少控制区中的骑士之间的数据交换，并以相同的方式减少旅行时间和能源消耗。使用控制屏障功能（CBF）框架考虑安全限制和车辆限制，并使用CBF约束提出了自触发的方案。此外，开发了修改的CBF约束，以确保建议的自触发方案的最小事件间隔。最后，通过一项模拟研究表明，与标准时间触发的框架相比，使用所提出的自触发方案可大大减少CAV之间的数据交换数量。
In this paper, a self-triggered scheme is proposed to optimally control the traffic flow of Connected and Automated Vehicles (CAVs) at conflict areas of a traffic network with the main aim of reducing the data exchange among CAVs in the control zone and at the same to minimize the travel time and energy consumption. The safety constraints and the vehicle limitations are considered using the Control Barrier Function (CBF) framework and a self-triggered scheme is proposed using the CBF constraints. Moreover, modified CBF constraints are developed to ensure a minimum inter-event interval for the proposed self-triggered schemes. Finally, it is shown through a simulation study that the number of data exchanges among CAVs is significantly reduced using the proposed self-triggered schemes in comparison with the standard time-triggered framework.
