车辆集群智能：纵向与横向维度上的协同合作
Vehicles Swarm Intelligence: Cooperation in both Longitudinal and Lateral Dimensions
AI总结：
本文提出一种纵向与横向协同的车辆集群方法，通过仿蜂群集群、保障超车成功率和编队巡航，实现安全超越慢速车辆并将运行机动性提升12.04%。
摘要：
仅纵向的编队行驶方法在运行机动性方面面临巨大挑战，因为它们可能时常受到慢速车辆的阻碍。为解决这一问题，本文提出了一种耦合纵向与横向协同的车辆集群方法。所提方法具有以下贡献：i）通过像蜂群一样集群来增强行驶机动性；ii）确保超车的成功率；iii）以编队队列形式巡航以保持可持续性。评估表明，所提方法能够操纵车辆集群安全且成功地超越慢速车辆。所提方法被证实可将运行机动性提高12.04%。集群安全性通过安全跟车距离得以确保。所提方法对交通的影响被限制在五辆上游车辆以内。
英文摘要：
Longitudinal-only platooning methods are facing great challenges on running mobility, since they may be impeded by slow-moving vehicles from time to time. To address this issue, this paper proposes a vehicles swarming method coupled both longitudinal and lateral cooperation. The proposed method bears the following contributions: i) enhancing driving mobility by swarming like a bee colony; ii) ensuring the success rate of overtaking; iii) cruising as a string of platoon to preserve sustainability. Evaluations indicate that the proposed method is capable of maneuvering a vehicle swarm to overtake slow-moving vehicles safely and successfully. The proposed method is confirmed to improve running mobility by 12.04%. Swarming safety is ensured by a safe following distance. The proposed method's influence on traffic is limited within five upstream vehicles.
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。
