论文标题
无车道自动车辆交通的最佳内部边界控制
Optimal internal boundary control of lane-free automated vehicle traffic
论文作者
论文摘要
最近提议的用于车辆交通的范式（连接和自动化车辆），称为交通流动，涉及无车道的车辆运动。无车道的交通意味着逐步扩大（缩小）导致容量的相应增量增加（减小）；这为考虑到公路和动脉的实时内部边界控制开辟了道路，以便在两个方向之间灵活地共享总（两个方向）的道路宽度和容量，以依赖双向需求和交通状况，以最大程度地提高总（两个方向）流动效率。该问题被称为可以有效解决的凸QP（二次编程）问题，并且代表性的案例研究揭示了并证明了新型控制作用的功能，能力和潜力。
A recently proposed paradigm for vehicular traffic in the era of CAV (connected and automated vehicles), called TrafficFluid, involves lane-free vehicle movement. Lane-free traffic implies that incremental road widening (narrowing) leads to corresponding incremental increase (decrease) of capacity; and this opens the way for consideration of real-time internal boundary control on highways and arterials, in order to flexibly share the total (both directions) road width and capacity among the two directions in dependence of the bi-directional demand and traffic conditions, so as to maximize the total (two directions) flow efficiency. The problem is formulated as a convex QP (Quadratic Programming) problem that may be solved efficiently, and representative case studies shed light on and demonstrate the features, capabilities and potential of the novel control action.
