南京航空航天大学学报（英文版）2021，Vol.38Issue(5)：852-866,15.
考虑时间和燃油的航空器滑行4⁃D航迹预测及动态规划
4?D Trajectory Prediction and Dynamic Planning of Aircraft Taxiing Considering Time and Fuel
摘要
Abstract
Most of the traditional taxi path planning studies assume that the aircraft is in uniform speed,and the optimization goal is the shortest taxi time. Although it is easy to solve,it does not consider the changes in the speed profile of the aircraft when turning,and the shortest taxi time does not necessarily bring the best taxi fuel consumption. In this paper,the number of turns is considered,and the improved A* algorithm is used to obtain the P static paths with the shortest sum of the straight-line distance and the turning distance of the aircraft as the feasible taxi paths. By balancing taxi time and fuel consumption,a set of Pareto optimal speed profiles are generated for each preselected path to predict the 4-D trajectory of the aircraft. Based on the 4-D trajectory prediction results,the conflict by the occupied time window in the taxiing area is detected. For the conflict aircraft,based on the priority comparison,the waiting or changing path is selected to solve the taxiing conflict. Finally,the conflict free aircraft taxiing path is generated and the area occupation time window on the path is updated. The experimental results show that the total taxi distance and turn time of the aircraft are reduced,and the fuel consumption is reduced. The proposed method has high practical application value and is expected to be applied in real-time air traffic control decision-making in the future.关键词
航空运输/航迹规划/启发式算法/滑行时间/滑行燃油消耗Key words
air transportation/trajectory planning/heuristic algorithm/taxi time/taxi fuel consumption分类
交通工程引用本文复制引用
李楠,章磊,孙瑜,高峥..考虑时间和燃油的航空器滑行4⁃D航迹预测及动态规划[J].南京航空航天大学学报（英文版）,2021,38(5):852-866,15.基金项目
This work was supported by the Na?tional Key R&D Project(No.2020YFB1600101),the Na?tional Natural Science Foundations of China(Nos.U1833103,71801215),and the Civil Aviation Flight Wide Area Sur?veillance and Safety Control Technology Key Laboratory Open Fund(No.202008). （No.2020YFB1600101）
