Autonomous Maneuver Coordination Via Vehicular Communication

Wenbo Xu, Alexander Willecke, M. Wegner, L. Wolf, R. Kapitza
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引用次数: 24

Abstract

Autonomous vehicles can make local decisions based on the perception of their environments. However, individual decisions do not always result in the most efficient solution from a global point of view, because of a lack of coordination. To improve the traffic efficiency, multiple autonomous vehicles can be orchestrated in a spontaneous group. This is achieved by a recently proposed Maneuver Coordination service utilizing the vehicular communication. Vehicles equipped with the Maneuver Coordination service can share their planned driving trajectories with others close to them, detect potential conflicts and negotiate a new plan of trajectories. If the negotiation is successful, the vehicles can end up with a cooperative and more efficient joint plan, compared to the individual plans. In this work, we extend the Maneuver Coordination service by designing a coordination protocol for the negotiation. Our protocol can ensure an agreement and prevent conflicting maneuver changes. The negotiation procedure also takes potential network failures into account and keeps the impact of such failures at a relatively low level. We tested our approach on a V2X simulation framework. The evaluation results of a lane-join scenario show that the coordinated plan after negotiation has 50% less accumulated time loss compared to the default right-of-way rules.
基于车辆通信的自主机动协调
自动驾驶汽车可以根据对环境的感知做出本地决策。然而,由于缺乏协调,从全局的角度来看,个别的决定并不总是产生最有效的解决办法。为了提高交通效率,可以将多辆自动驾驶汽车编排成一个自发组。这是由最近提出的机动协调服务利用车辆通信实现的。配备机动协调服务的车辆可以与附近的其他车辆共享其计划的驾驶轨迹,检测潜在的冲突并协商新的轨迹计划。如果谈判成功,与单独的计划相比,车辆最终可以得到一个合作的、更有效的联合计划。在这项工作中,我们通过设计一种协商协调协议来扩展机动协调服务。我们的协议可以保证协议的一致性,防止冲突的机动变化。协商过程还考虑到潜在的网络故障,并将此类故障的影响控制在相对较低的水平。我们在V2X仿真框架上测试了我们的方法。车道连接场景的评价结果表明,协商后的协调方案比默认路权规则的累积时间损失少50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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