飞机的地面运动是连接所有其他地面作业的纽带,在提高机场效率方面起着重大作用.寻找新的方法来协调机场机队的行动,以提高系统对干扰的自主恢复力,是研究机场空侧管制操作的核心.此外,自动滑行是未来数字化机场的关键组成部分.然而,最先进的机场地面运动路径和调度算法在主动和被动规划阶段都没有考虑高保真飞机模型,此类算法大多不主动优化燃油效率和减少有害温室气体排放.本文提出了一种基于高保真飞机模型和增益-调度控制策略的高效四维航迹(4DT)生成方法.该方法与确定滑行航线、路径点以及时限的路由和调度算法协同工作,在飞机和机场操作限制条件下,实时生成燃油效率高的四维航迹.该方法可在以下两种情况下使用:①作为反应型决策支持工具,生成能够解决全新事件的新轨迹;②充当半自动和全自动滑行的自动驾驶系统.该方法具有可行性,且易于实现.仿真研究表明,该方法能够在大型波音747-100喷气式客机滑行过程中减少高达11％的燃料消耗.“,”Aircraft ground movement plays a key role in improving airport efficiency, as it acts as a link to all other ground operations. Finding novel approaches to coordinate the movements of a fleet of aircraft at an air-port in order to improve system resilience to disruptions with increasing autonomy is at the center of many key studies for airport airside operations. Moreover, autonomous taxiing is envisioned as a key component in future digitalized airports. However, state-of-the-art routing and scheduling algorithms for airport ground movements do not consider high-fidelity aircraft models at both the proactive and reactive planning phases. The majority of such algorithms do not actively seek to optimize fuel efficiency and reduce harmful greenhouse gas emissions. This paper proposes a new approach for generating effi-cient four-dimensional trajectories (4DTs) on the basis of a high-fidelity aircraft model and gain-scheduling control strategy. Working in conjunction with a routing and scheduling algorithm that deter-mines the taxi route, waypoints, and time deadlines, the proposed approach generates fuel-efficient 4DTs in real time, while respecting operational constraints. The proposed approach can be used in two con-texts:①as a reactive decision support tool to generate new trajectories that can resolve unprecedented events; and ② as an autopilot system for both partial and fully autonomous taxiing. The proposed methodology is realistic and simple to implement. Moreover, simulation studies show that the proposed approach is capable of providing an up to 11％reduction in the fuel consumed during the taxiing of a large Boeing 747-100 jumbo jet.