A novel dynamic en-route and slot allocation method based on receding horizon control

被引:2
作者
Yang, Yi [1 ,2 ]
Yang, Shangwen [1 ]
Tong, Ming [1 ]
Xu, Ying [1 ,2 ]
机构
[1] State Key Lab Air Traff Management Syst & Technol, Nanjing, Peoples R China
[2] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China
关键词
Air traffic management; Flight delay cost; Dynamic en-route and slot allocation; Airspace capacity and demand; Receding horizon control; TRAFFIC FLOW-CONTROL; OPTIMIZATION; NETWORK; MODEL;
D O I
10.1007/s10878-022-00964-w
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
As an important part in civil air traffic control, en-route management plays a commander role in the whole control process. En-route and slot allocation, as the necessary means for en-route management, is the factor to break through the operation efficiency. Traditional en-route and slot al-location methods mainly focus on scheduled allocation and plan-based strategies, which cannot afford the dynamic and varied airspace in future. The methodology used in this study: To minimize delay costs in the current time horizon, dynamic en-route, and slot allocation, this paper proposes a dynamic en-route and slot allocation method based on receding horizon control, which can create the optimal allocation strategy in the current time horizon. The simulation results show that the proposed algorithm reduces flight delay costs at least 5.85% over the traditional first come first served strategy when increasing or decreasing flights randomly. The proposed method can effectively deal with the in the en-route and slot allocation problem in the dynamic airspace environment, which would provide more technical means in other field in transportation, such as urban three-dimensional transportation.
引用
收藏
页数:20
相关论文
共 24 条
[1]   Ground Delay Program Planning Under Uncertainty Based on the Ration-by-Distance Principle [J].
Ball, Michael O. ;
Hoffman, Robert ;
Mukherjee, Avijit .
TRANSPORTATION SCIENCE, 2010, 44 (01) :1-14
[2]   Receding horizon control for airport capacity management [J].
Chen, Wen-Hua ;
Hu, Xiao-Bing .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2007, 15 (06) :1131-1136
[3]   The time slot allocation problem under uncertain capacity [J].
Corolli, Luca ;
Lulli, Guglielmo ;
Ntaimo, Lewis .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2014, 46 :16-29
[4]   A sequence model for air traffic flow management rerouting problem [J].
Diao, Xudong ;
Chen, Chun-Hsien .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 110 :15-30
[5]   A Vehicle-Consensus Information Exchange Scheme for Traffic Management in Vehicular Ad-Hoc Networks [J].
Gao, Jiechao ;
Manogaran, Gunasekaran ;
Nguyen, Tu N. ;
Kadry, Seifedine ;
Hsu, Ching-Hsien ;
Kumar, Priyan Malarvizhi .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (10) :19602-19612
[6]  
Hoffman R, 2005, AIAA GUIDANCE NAVIGA, P6470
[7]   Joint Optimization of UAV Position, Time Slot Allocation, and Computation Task Partition in Multiuser Aerial Mobile-Edge Computing Systems [J].
Hu, Jiawen ;
Jiang, Miao ;
Zhang, Qi ;
Li, Quanzhong ;
Qin, Jiayin .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (07) :7231-7235
[8]   Receding horizon control for aircraft arrival sequencing and scheduling [J].
Hu, XB ;
Chen, WH .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2005, 6 (02) :189-197
[9]   Air Traffic Flow Management slot allocation to minimize propagated delay and improve airport slot adherence [J].
Ivanov, Nikola ;
Netjasov, Fedja ;
Jovanovic, Radosav ;
Starita, Stefano ;
Strauss, Arne .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2017, 95 :183-197
[10]  
Kim A.M., 2011, Collaborative Resource Allocation Strategies for Air Traffic Flow Management