A new dynamic planning for airport surface based on an improved artificial potential field algorithm in a connected aircraft environment
Qihang Liu, Yuhang Liu, X H Chen, Zixin Wang, Jiangchen Li · 2023
With the increase of air traffic flow, taxiway conflicts and flight delays at large and busy airports have become important factors affecting airport operational efficiency. Based on 5G technology, connected aircraft environment can quickly aggregate information in different scenarios, and provide precise information such as aircraft position, speed and attitude to the cloud in real-time, and its powerful computing and interactive capabilities make it possible to provide important technical support for collaborative operations at airport scenes. This paper proposes a dynamic route optimization model based on connected aircraft environment for aircraft taxi path planning. The model is constructed by setting three types of taxiway conflict constraints and other operational scheduling constraints. Using traditional artificial potential field algorithms with improved constraint methods can improve accuracy and effectiveness in solving conflicts during airport scene path planning processes. Validation using departure time data for flights at Lukou Airport shows that this method can directly perform dynamic programming under an intelligent networked environment, reducing algorithm complexity and improving computational efficiency while achieving real-time conflict resolution during path planning suitable for dynamic scene path planning.