论文标题
分析Markovian排队模型的无自动信号交叉点
Analysis of a Markovian Queuing Model for Autonomous Signal-Free Intersection
论文作者
论文摘要
我们考虑了一种新型的分析排队模型，用于在无信号交集处进行车辆协调。车辆根据泊松工艺到达十字路口，交叉时间是依赖车辆类型的常数。我们使用此模型将关键操作参数（车辆速度/加速度，车辆间的进度）定量与关键性能指标（吞吐量和延迟）相关联。我们使用Foster-Lyapunov漂移条件来获得稳定性标准和上限，以平均时间延迟。基于这些结果，我们将无信号相交与常规车辆以及连接和自动驾驶汽车的效率进行了比较。我们还验证了我们的城市流动性模拟（SUMO）的结果。
We consider a novel, analytical queuing model for vehicle coordination at signal-free intersections. Vehicles arrive at an intersection according to Poisson processes, and the crossing times are constants dependent of vehicle types. We use this model to quantitatively relate key operational parameters (vehicle speed/acceleration, inter-vehicle headway) to key performance metrics (throughput and delay) under the first-come-first-serve rule. We use the Foster-Lyapunov drift condition to obtain stability criteria and an upper bound for average time delay. Based on these results, we compare the efficiency of signal free intersections with conventional vehicles and with connected and autonomous vehicles. We also validate our results in Simulation of Urban Mobility (SUMO).
