A Priority-Based Autonomous Intersection Management (AIM) Scheme for Connected Automated Vehicles (CAVs)
A Priority-Based Autonomous Intersection Management (AIM) Scheme for Connected Automated Vehicles (CAVs)
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DOI：
10.3390/vehicles3030032
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发表时间：
2021-08
期刊：
影响因子：
2.2
通讯作者：
Hui Zhang;Rongqing Zhang;Chen Chen-Chen;Dongliang Duan;Xiang Cheng;Liuqing Yang
中科院分区：
文献类型：
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作者：
Hui Zhang;Rongqing Zhang;Chen Chen-Chen;Dongliang Duan;Xiang Cheng;Liuqing Yang
在本文中，我们研究了联网自动车辆 (CAV) 的交叉口交通管理。特别是，提出了一种兼顾交通效率和调度灵活性的分散式自主交叉口管理方案，该方案采用新颖的交叉口-车辆模型来检查整个交叉口区域内CAV之间的冲突。此外，还设置了基于优先级的避碰规则，以提高交通效率并缩短紧急CAV的延误。此外，设计了多目标函数以获得CAV的最佳轨迹，该函数考虑了乘坐舒适性、CAV的速度、燃油消耗以及安全性、速度和加速度的约束。仿真结果表明，我们提出的方案可以在交通效率和缩短紧急 CAV 的延误方面取得良好的性能。
In this paper, we investigate the intersection traffic management for connected automated vehicles (CAVs). In particular, a decentralized autonomous intersection management scheme that takes into account both the traffic efficiency and scheduling flexibility is proposed, which adopts a novel intersection–vehicle model to check conflicts among CAVs in the entire intersection area. In addition, a priority-based collision-avoidance rule is set to improve the performance of traffic efficiency and shorten the delays of emergency CAVs. Moreover, a multi-objective function is designed to obtain the optimal trajectories of CAVs, which considers ride comfort, velocities of CAVs, fuel consumption, and the constraints of safety, velocity, and acceleration. Simulation results demonstrate that our proposed scheme can achieve good performance in terms of traffic efficiency and shortening the delays of emergency CAVs.