论文标题

定期和事件触发,以最大化和安全交叉交叉

Periodic and Event-Triggering for Joint Capacity Maximization and Safe Intersection Crossing

论文作者

Vitale, Christian, Kolios, Panayiotis, Ellinas, Georgios

论文摘要

交叉路口交叉代表了运输系统的瓶颈和连接的自动驾驶汽车(CAVS)可能是解决问题的开创性解决方案。这项工作提出了一个新颖的框架,即避免到期,其中相交经理(IM)控制着骑士接近交叉点,以最大程度地提高交叉路口的能力,同时最大程度地减少骑士的气体消耗。与文献中的大多数作品相反,骑士的位置不确定性被解释了,定期沟通和重新优化允许为骑士创建安全的轨迹。为了提高高流量交叉点的可伸缩性,还开发了(避免事件)事件触发方法,以最大程度地减少计算和通信复杂性。避免事件会减少92.2%所需的重新选择的数量,同时保留避免避免的大多数好处。

Intersection crossing represents a bottleneck for transportation systems and Connected Autonomous Vehicles (CAVs) may be the groundbreaking solution to the problem. This work proposes a novel framework, i.e, AVOID-PERIOD, where an Intersection Manager (IM) controls CAVs approaching an intersection in order to maximize intersection capacity while minimizing the CAVs' gas consumption. Contrary to most of the works in the literature, the CAVs' location uncertainty is accounted for and periodic communication and re-optimization allows for the creation of safe trajectories for the CAVs. To improve scalability for high-traffic intersections, an event-triggering approach is also developed (AVOID-EVENT) that minimizes computational and communication complexity. AVOID-EVENT reduces the number of re-optimizations required by 92.2%, while retaining most of the benefits introduced by AVOID-PERIOD.

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