A Dynamic Model for Aircraft Route Optimizing in Airport Surface Management
With the increase of air traffic flew,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 taxinetwork 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.
airport surface management dynamic route optimizing tazi conflict optimization of pushback/tazi-in time.
Zhen Li Jun Zhang Xuejun Zhang
School of Electronic Information Engineering,Beihang University,Beijing,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
3196-3200
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）