Advanced Air Mobility (AAM) is an emerging concept for transporting people and cargo in urban, rural, regional, and interregional settings using revolutionary new aircraft. Urban Air Mobility (UAM), a part of AAM, focused on transport passengers in low-altitude urban airspace, has attracted extensive attention among industry, government, academia, and the public. Compared to existing commercial flights, AAM operations are expected to be at higher density; thus, an AAM system needs to be scalable, safe, and autonomous. Third-party service providers are recommended for offering air traffic management and information sharing services given the anticipated high density of UAM operations. To this end, we propose an Automated Flight Planning System (AFPS) that could be employed by such service providers. In the AFPS, a Low-Altitude Airspace Management System (LAMS) is proposed to automatically generate a route network with the capability of avoiding obstacles and obstructions in low-altitude airspace. The main components of this tool are the generation of a 3D map with LiDAR data, construction of a nodal network based on the map by using the visibility graph method, and initiation of 3D shortest paths. Given the requests of flight operations, i.e., origin, destination, departure time, the Low-Altitude Traffic Management System (LTMS) will design pre-departure conflict-free 4D trajectories and provide flexibilities of en-route maneuvering by taking system cost and equity among operators into consideration. In this study, a flight-level assignment strategy is proposed to solve the trajectory deconfliction problem in LTMS. In addition, a Nash Social Welfare Program (NSWP) is introduced to maintain fairness among different operators if the service is provided to multiple operators of UAM. A case study of the Tampa Bay area in Florida is used to demonstrate the operability of the proposed AFPS, and animations are built to visualize the optimized conflict-free operations of UAM in the study area.

Advanced Air Mobility (AAM) 是一种新兴概念，用于使用革命性的新型飞机在城市、农村、区域和跨区域环境中运输人员和货物。城市空中交通（UAM）是AAM的一部分，专注于城市低空空域的运输乘客，引起了工业、政府、学术界和公众的广泛关注。与现有的商业航班相比，AAM 的运营密度预计会更高；因此，AAM 系统需要具有可扩展性、安全性和自主性。鉴于 UAM 运营的预期高密度，建议第三方服务提供商提供空中交通管理和信息共享服务。为此，我们提出了一种可供此类服务提供商使用的自动飞行计划系统 (AFPS)。在 AFPS 中，提出了一种低空空域管理系统（LAMS）来自动生成具有避开低空空域障碍物能力的航线网络。该工具的主要组成部分是使用 LiDAR 数据生成 3D 地图、使用可见性图方法基于地图构建节点网络以及启动 3D 最短路径。低空交通管理系统（LTMS）将根据飞行操作的要求，即始发地、目的地、起飞时间，设计起飞前无冲突的4D轨迹，并通过兼顾系统成本和公平性，提供航路机动的灵活性运营商之间的考虑。在这项研究中，提出了一种飞行级别分配策略来解决 LTMS 中的轨迹冲突问题。此外，如果向 UAM 的多个运营商提供服务，则引入 Nash 社会福利计划 (NSWP) 以维护不同运营商之间的公平性。佛罗里达州坦帕湾地区的一个案例研究被用来证明所提议的 AFPS 的可操作性，并构建了动画来可视化研究区域内 UAM 的优化无冲突操作。