基于V2X的机动协调中意图共享的重要性
Importance of Intent-Sharing for V2X-based Maneuver Coordination
AI总结：
本文研究意图共享对网联自动驾驶车辆机动协调有效性的关键作用，通过量化成功协调比例，证明直接共享意图比轨迹预测显著提升协调效果。
摘要：
本文研究了意图共享在实现网联自动驾驶车辆有效机动协调中的关键作用。成功的机动协调需要车辆准确了解其他车辆的驾驶意图。意图共享可以通过远程车辆直接将其计划通信给自车来实现，而不是自车代表远程车辆预测轨迹。本文通过量化成功协调的比例，研究了意图共享对机动协调有效性的潜力。我们通过比较在高速公路场景中协调换道的效果与基于当前运动学数据的轨迹预测方法的效果，分析了意图共享的潜力。我们的分析在两个场景中表明，当CAV通过意图共享直接获取附近车辆的驾驶意图时，机动协调有显著改进。这些发现强调了在机动协调协议中纳入意图共享的重要性。
英文摘要：
This paper examines the critical role of intent-sharing in enabling effective maneuver coordination for connected and automated vehicles (CAVs). Successful maneuver coordinations require vehicles to accurately know other vehicles' driving intentions. Intent-sharing can be achieved by the remote vehicles directly communicating their plans with the ego vehicle, as opposed to the ego vehicle predicting the trajectory on the remote vehicles' behalf. In this paper, we investigate the potential of intent-sharing on maneuver coordination effectiveness by quantifying the percentage of successful coordinations. We analyze the potential of intent-sharing by comparing its effectiveness for coordinated lane changes in a highway scenario with the effectiveness of a trajectory prediction method based on current kinematic data. Our analysis demonstrates in two scenarios substantial improvements in maneuver coordination when CAVs have direct access to the nearby vehicles' driving intentions through intent sharing. These findings highlight the importance of including intent-sharing in the maneuver coordination protocol.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
