DECENTRALIZED MULTI-AIRCRAFT CONFLICT RESOLUTION IN THE PRESENCE OF UNCERTAINTY

被引:0
|
作者
Fang, Lin-quan [1 ,2 ]
Cai, Kai-quan [1 ,2 ]
Yang, Yang [1 ,2 ]
Zhu, Yan-bo [3 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[2] Beijing Lab Gen Aviat Technol, Beijing, Peoples R China
[3] Aviat Data Commun Corp, Beijing, Peoples R China
关键词
OPTIMIZATION; MODEL;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Multi-aircraft Conflict Resolution (CR) in the presence of uncertainty is the core task for air traffic controller to maintain flight safety. In order to avoid the conflicts among all involved aircraft while address the flight flexibility of individual aircraft, a decentralized multi-aircraft CR scheme is proposed. The CR problem is divided into a sequential of sub-problems based on a novel conflict resolution order, in which the flexibility of aircraft is described as the velocity reach set modelled through the concept of Velocity Obstacle (VO). Then, the sub-problem is formulated into a Mixed Integer Linear Program (MILP) solved via CPLEX. Some numerical results are given to show the efficacy of the proposed decentralized approach.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] A hybrid distributed-centralized conflict resolution approach for multi-aircraft based on cooperative co-evolutionary
    XueJun Zhang
    XiangMin Guan
    Inseok Hwang
    KaiQuan Cai
    Science China Information Sciences, 2013, 56 : 1 - 16
  • [22] Centralized path planning for multi-aircraft in the presence of static and moving obstacles
    Mirzaei Teshnizi M.
    Kosari A.
    Goliaei S.
    Shakhesi S.
    Kosari, A. (kosari_a@ut.ac.ir), 1600, Materials and Energy Research Center (33): : 923 - 933
  • [23] Probabilistic multi-aircraft conflict detection approach for trajectory-based operation
    Hao, Siqi
    Zhang, Yaping
    Cheng, Shaowu
    Liu, Ruiwei
    Xing, Zhiwei
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 95 : 698 - 712
  • [24] Centralized Path Planning for Multi-aircraft in the Presence of Static and Moving Obstacles
    Teshnizi, M. Mirzaei
    Kosari, A.
    Goliaei, S.
    Shakhesi, S.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2020, 33 (05): : 923 - 933
  • [25] SMILO-VTAC model based multi-aircraft conflict resolution method in complex low-altitude airspace
    Zhang Q.-Q.
    Wang Z.-Y.
    Zhang H.-H.
    Jiang C.-P.
    Hu M.-H.
    Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2019, 19 (06): : 125 - 136
  • [26] Multi-Aircraft Flight Conflict Resolution and Trajectory Recovery Scheme Based on Mixed Integer Linear Programming and Geometric Rules
    Liu, Xiaoqin
    Xiao, Gang
    TRANSPORTATION RESEARCH RECORD, 2023, 2677 (05) : 166 - 182
  • [27] General multi-agent reinforcement learning integrating adaptive manoeuvre strategy for real-time multi-aircraft conflict resolution
    Chen, Yutong
    Hu, Minghua
    Yang, Lei
    Xu, Yan
    Xie, Hua
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 151
  • [28] General real-time three-dimensional multi-aircraft conflict resolution method using multi-agent reinforcement learning
    Chen, Yutong
    Xu, Yan
    Yang, Lei
    Hu, Minghua
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 157
  • [29] Priority-based intelligent resolution method of multi-aircraft flight conflicts
    Sui, D.
    Zhou, Z.
    Cui, X.
    AERONAUTICAL JOURNAL, 2024,
  • [30] Priority-based intelligent resolution method of multi-aircraft flight conflicts
    Sui, D.
    Zhou, Z.
    Cui, X.
    Aeronautical Journal, 2024,