意图优先的空中车对车通信用于战术协调与分离：协议与性能在密度和干扰下的表现
Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance
AI总结：
本研究提出了一种意图优先的空中车对车（V2V）协议，用于密集的无人机交通管理（UTM）操作，通过部署的邻近通信机制提供新鲜可信的信息以实现局部协调，该协议结合刷新的状态和意图信标，用于局部感知、协同感知和降级模式评估，并通过事件触发的消息进行让行、排序、释放和应急协调。
摘要：
密集的低空航空操作需要的不仅仅是预先飞行路线协调和最后手段的碰撞避免。一旦飞机进入空中，扰动可以在战略重新授权能够吸收的时间尺度以下出现，而碰撞避免太晚且具有破坏性，无法作为常规交通管理。虽然战术分离被认可为中间层，但实现它需要一个可部署的邻近通信机制，该机制能够为本地协调提供新鲜、可信的信息。本文提出了迄今为止我们所知的第一个控制器耦合的特征化，即一个全空中、 sidelink 类型、意图优先的车辆对车辆（V2V）战术邻近交换堆栈，用于密集的无人机交通管理（UTM）操作。与仅意识广播不同，所提出的交换结合了刷新的状态和意图信标，用于局部感知、协同感知和降级模式评估，并通过事件触发的消息进行让行、排序、释放和应急协调。我们通过使用 sidelink 类型的 C-V2X 模块实现并评估了该模型，这些模块具有认证的 freshness 检查。评估使用了由实时、实地锚定的基础设施支持的场景驱动、高流量压力测试。结果表明，V2V 减少了过时信念的分歧，通过协同感知保持可观测性，拒绝无效的战术信息，抑制虚假的局部推断，并结构化共享资源协调。所实现的堆栈在较低到中等密度范围内提供了一个可行的通信层用于战术分离，但随着密度、干扰和复杂性的增加，会转向受保护的回退模式。这些发现将意图优先的空中 V2V 定位为在扰动驱动的都市空域中扩展战术协调的有界促进者。
英文摘要：
Dense low-altitude aerial operations require more than pre-flight route coordination and last-resort collision avoidance. Once aircraft are airborne, disturbances can emerge on timescales shorter than strategic reauthorization can absorb, while collision avoidance is too late and disruptive to serve as routine traffic management. Although tactical separation is recognized as the intermediate layer, realizing it at scale requires a deployable neighborhood communication mechanism that provides fresh, trusted information for local coordination. This paper presents what is, to our knowledge, the first controller-coupled characterization of an all-airborne, sidelink-class, intent-first vehicle-to-vehicle (V2V) tactical neighborhood exchange stack for dense Unmanned Aircraft System Traffic Management (UTM) operations. Unlike awareness-only broadcast, the proposed exchange combines refreshed state and intent beacons for local awareness, cooperative perception, and degraded-mode assessment with event-triggered messages for yielding, sequencing, release, and contingency coordination. We implement and evaluate this model on an all-airborne V2V stack using sidelink-class C-V2X modules with authenticated freshness checks. Evaluation uses a scenario-driven, high-volume stress campaign supported by real-time, field-anchored infrastructure. Results show that V2V reduces stale-belief divergence, preserves observability through cooperative perception, rejects invalid tactical messages, suppresses false local inference, and structures shared-resource coordination. The implemented stack provides a viable communication layer for tactical separation in lower-to-moderate regimes, but transitions toward guarded fallback as density, impairment, and complexity increase. These findings position intent-first aerial V2V as a bounded enabler for scaling tactical coordination in disturbance-driven urban airspace.
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。
