A dynamic model for aircraft route optimizing in airport surface management

With the increase of air traffic flow, aircraft conflicts and delays on hub airports have been complex and challenging in airport surface management for a long time. In this paper we propose a dynamic route optimizing model to decrease the conflicts on the taxiway and enhance the capacity of airport surface operation compared to the current operation mode. A ready-for-departing or just-arrived aircraft which will push back or taxi in should be assigned a shortest path before the action. At the same time the conflicts such as edge conflicts and cross-node conflicts should be considered. After making choice of taxiing route for the departure or arrival aircraft, we can also give an optimization entry taxi-network time based on Genetic Algorithm (GA) to decrease those conflicts. The dynamic optimizing model contributes two aspects: one is to find a shortest taxiway route without edge-conflicts; the other is to give the optimal cross conflict-free time. This model is validated efficiently by the setting of Guangzhou Baiyun airport based on MATLAB software.