As the backbone of Communications, Navigation and Surveillance Systems for Air Traffic Management (CNS/ATM), Automatic Dependent Surveillance-Broadcast (ADS-B) is a surveillance technology and digital-technology enabler relying on the Global Navigation Satellite System (GNSS). The onboard ADS-B Out system broadcasts the aircraft’s real-time digital information such as position and ground speed periodically (every 0.5–2 s), which is more frequent than the radar system. Taking this advantage, situational awareness and flight efficiency can be highly improved. In this paper, a novel heuristic search method based on ADS-B is proposed for the Aircraft Landing Problem (ALP) with the objective of reducing flight time while maintaining the time separation standards mandated by the International Civil Aviation Organization (ICAO). The recorded ADS-B data in Shanghai Hongqiao and Pudong international airports are adopted to demonstrate the performance of the proposed method. Results show that there is an obvious decrease in the total flight time. Besides, the heuristic search method can achieve continuous and real-time ALP updates, satisfying the requirements for air traffic control. While highlighting ADS-B-based applications, this study also provides some basic implications for the updated model in air traffic management.

作为空中交通管理通信、导航和监视系统 (CNS/ATM) 的支柱，广播自动相关监视 (ADS-B) 是一种依赖于全球导航卫星系统 (GNSS) 的监视技术和数字技术推动者。机载ADS-B Out系统定期（每0.5-2秒）广播飞机的实时数字信息，如位置和地速，比雷达系统更频繁。利用这一优势，可以极大地提高态势感知和飞行效率。在本文中，针对飞机着陆问题 (ALP) 提出了一种基于 ADS-B 的新型启发式搜索方法，目的是在保持国际民用航空组织 (ICAO) 规定的时间间隔标准的同时减少飞行时间。采用在上海虹桥和浦东国际机场记录的 ADS-B 数据来证明所提出方法的性能。结果表明，总飞行时间明显减少。此外，启发式搜索方法可以实现连续、实时的 ALP 更新，满足空中交通管制的要求。在强调基于 ADS-B 的应用的同时，这项研究还为空中交通管理中的更新模型提供了一些基本意义。