Flight Rerouting Path Planning Based on Artificial Potential Field and Genetic Algorithm

摘要：

　　Severe weather is a threat to flight safety and the main reason for delays.Rerouting strategy can effectively avoid severe weather,and rerouting path planning is a key issue ofrerouting strategy.Aiming at the free flight,an improved artificial potential field model was used to generate a single flight rerouting path.Then genetic algorithm was used to select the best flight path from multiple paths.Finally,a numerical example was carried out and the relevant parameters were analyzed.The results show that the artificial potential field and genetic algorithm can achieve optimum rerouting path,and the relevant parameter values must be in a certain range to get the optimum solution.

关键词： reroute path planning artificial potential field genetic algorithm

作者: Xinglong Wang Hui Li Fei Wang

作者单位: College of Air Traffic Management,Civil Aviation University of China,Tianjin,300300,China

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 1413-1417

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）