论文标题
交叉路口的时间相关性能建模
Time-Dependent Performance Modeling for Platooning Communications at Intersection
论文作者
论文摘要
随着车辆互联网的开发,已广泛研究了排队策略作为确保自动驾驶安全的潜在方法。排的车辆采用802.11p,通过车辆(V2V)通信交换消息。当多个排到达十字路口时,每个排的领导工具都会调整其运动特性,以确保它可以越过交叉路口,因此以下车辆必须相应地调整其运动特性。在这种情况下,车辆之间的随时间变化的连通性会导致排队通信的重大非平稳性能变化,这可能会遇到安全问题。在本文中,我们构建了时间依赖的模型,以根据初始运动特征在交叉路口评估平台通信性能。我们首先考虑在交叉路口的车辆的运动行为,包括转弯,加速,减速和停止以及交通信号灯的周期性变化以构建运动模型,然后建立听力网络以反映车辆之间的时间变化连接。之后,我们采用侧重固定的流体流量近似(PSFFA)来对传输队列的非平稳行为进行建模。然后,我们考虑四个访问类别(ACS)和802.11p的持续向后冻结,以构建模型,以描述802.11p的时间相关访问过程。最后,基于时间依赖的模型,得出数据包传输延迟和数据包输送比率。通过将模拟结果与分析结果进行比较,可以验证我们提出的模型的准确性。
With the development of internet of vehicles, platooning strategy has been widely studied as the potential approach to ensure the safety of autonomous driving. Vehicles in the form of platoon adopt 802.11p to exchange messages through vehicle to vehicle (V2V) communications. When multiple platoons arrive at an intersection, the leader vehicle of each platoon adjusts its movement characteristics to ensure that it can cross the intersection and thus the following vehicles have to adjust their movement characteristics accordingly. In this case, the time-varying connectivity among vehicles leads to the significant non-stationary performance change in platooning communications, which may incur safety issues. In this paper, we construct the time-dependent model to evaluate the platooning communication performance at the intersection based on the initial movement characteristics. We first consider the movement behaviors of vehicles at the intersection including turning, accelerating, decelerating and stopping as well as the periodic change of traffic lights to construct movement model, and then establish a hearing network to reflect the time-varying connectivity among vehicles. Afterwards, we adopt the pointwise stationary fluid flow approximation (PSFFA) to model the non-stationary behavior of transmission queue. Then, we consider four access categories (ACs) and continuous backoff freezing of 802.11p to construct the models to describe the time-dependent access process of 802.11p. Finally, based on the time-dependent model, the packet transmission delay and packet delivery ratio are derived. The accuracy of our proposed model is verified by comparing the simulation results with analytical results.