机场地表指导操作的轨迹优化,用于无人驾驶指导车辆
Tianping Sun1, Kai Wang1, Ke Tang1
1Air Traffc Management College, Civil Aviation Flight University of China, Chengdu 641419, China.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
本研究引入了电动无人驾驶指导车辆的新轨道规划方法,提高了机场表面行驶效率43.65%,并降低了34.52%,同时确保了安全.
科学领域:
- 机场运营和空中交通管理
- 智能运输系统 智能运输系统
- 机器人技术和自主系统
背景情况:
- 电动无人驾驶引导车辆提高了机场的安全性和效率,特别是在低可见度的情况下.
- 为这些车辆设计严格的操作轨迹 (调度,引导,恢复) 是一个关键的研究挑战.
研究的目的:
- 为电动无人驾驶引导车辆提出一种新的三阶段轨迹规划方法.
- 优化机场地面行驶过程中的安全,效率和能源消耗的运行轨迹.
主要方法:
- 定义了引导单元 (无人驾驶引导车 + 引导飞机) 并建立了一个标准的速度配置设计模型.
- 开发了使用时间窗口重叠分析用于安全约束的冲突预测算法.
- 制定了一个优化模型,以最大限度地减少引导时间,并设计了一个改进的A*算法,用于无冲突的轨迹生成.
主要成果:
- 速度特征设计和机场运营规则对指导车辆的轨迹产生重大影响.
- 通过协调速度和路径规划,拟议的算法实现了43.65%的运营效率提高.
- 与传统的后续指导相比,观察到能源消耗减少了34.52%.
结论:
- 开发的轨迹规划方法有效地为无人驾驶引导车辆生成无冲突的路径.
- 通过拟议的电动引导系统,可以同时优化运营效率和能源消耗.
- 该方法确保了持续的安全性,并改善了整体机场地面操作.
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