论文标题
分布式操纵计划，并使用连接和自动化的车辆提高交通效率
Distributed Maneuver Planning with Connected and Automated Vehicles for Boosting Traffic Efficiency
论文作者
论文摘要
连接和自动化的车辆（CAV）有可能改善交通吞吐量并实现可用的道路基础设施的更有效利用。即使在与其他人类驱动的车辆混合交通中，他们也有潜力通过交通运动协调来减少能源消耗。意识到这些潜力的关键是协调的控制方案，可以与骑士队以分布式方式实施。在本文中，我们提出了一个分布式的预测控制框架，该框架具有二维操纵计划者，该计划者在混合流量中以各种渗透水平在混合流量中运行的连接车辆之间进行了明确的协调约束。该框架包括参考速度分配程序的分布式实现，该实现从板上测量和通信信息估算本地流量速度。我们在交通流动，能源使用和车道利用率的各种CAV渗透方面对拟议框架进行了广泛的评估。将结果与没有CAV的基线场景以及基准的一维计划者进行了比较。
Connected and automated vehicles (CAVs) have the potential to improve traffic throughput and achieve a more efficient utilization of the available roadway infrastructure. They also have the potential to reduce energy consumption through traffic motion harmonization, even when operating in mixed traffic with other human-driven vehicles. The key to realizing these potentials are coordinated control schemes that can be implemented in a distributed manner with the CAVs. In this paper, we propose a distributed predictive control framework that features a two-dimensional maneuver planner incorporating explicit coordination constraints between connected vehicles operating in mixed traffic at various penetration levels. The framework includes a distributed implementation of a reference speed assigner that estimates local traffic speed from on-board measurements and communicated information. We present an extensive evaluation of the proposed framework in traffic micro-simulations at various CAV penetrations from traffic flow, energy use, and lane utilization points of view. Results are compared to a baseline scenario with no CAVs, as well as, a benchmark one-dimensional planner.
