论文标题
当骑士以协作和无车道订单越过的骑士交叉时交叉点的能力分析
Capacity Analysis of Intersections When CAVs Crossing in a Collaborative and Lane-Free Order
论文作者
论文摘要
与人类驾驶员的信号交叉相比，连接和自动驾驶汽车（CAVS）通过以无车道顺序越过交叉来改善交叉点的吞吐量。但是，量化这种改进是一项挑战，因为可用框架分析常规交叉点的容量（即最大吞吐量）不适用于无车道的交叉点。本文提出了一个新颖的理论框架，以数字模拟和比较无车道和常规交叉点的能力。结果表明，通过无车道交叉路口的最大车辆数量是由最新的最大压力和韦伯斯特算法管理的信号交叉路口的七倍。灵敏度分析表明，与信号交叉点相比，无车道交叉点的能力通过初始速度，最大允许速度和车辆加速度的最大允许速度和加速度提高。
Connected and autonomous vehicles (CAVs) improve the throughput of intersections by crossing in a lane-free order as compared to the signalised crossing of human drivers. However, it is challenging to quantify such an improvement because the available frameworks to analyse the capacity (i.e., the maximum throughput) of the conventional intersections does not apply to the lane-free ones. This paper proposes a novel theoretical framework to numerically simulate and compare the capacity of lane-free and conventional intersections. The results show that the maximum number of vehicles passing through a lane-free intersection is up to seven times more than a signalised intersection managed by the state-of-the-art max-pressure and Webster algorithms. A sensitivity analysis shows that, in contrast to the signalised intersections, the capacity of the lane-free intersections improves by an increase in initial speed, the maximum permissible speed and acceleration of vehicles.
