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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Arizona State Univ Sch Engn Matter Transport & Energy Tempe AZ 85281 USA Arizona State Univ Sch Elect Comp & Energy Engn Tempe AZ 85281 USA Univ Michigan Ann Arbor MI 48109 USA Univ Space Res Assoc Moffett Field CA 94035 USA
出 版 物:《JOURNAL OF GUIDANCE CONTROL AND DYNAMICS》 (制导、控制和动力学杂志)
年 卷 期:2020年第43卷第8期
页 面:1456-1472页
核心收录:
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0804[工学-仪器科学与技术] 0825[工学-航空宇航科学与技术]
基 金:NASA University Leadership Initiative Program [NNX17AJ86A]
主 题:Commercial Aircraft Airborne Collision Avoidance System Restricted Airspace Shortest Path Algorithms Air Traffic Management Trajectory Optimization Satellites Path Planning Automatic Dependent Surveillance Broadcast Aircraft Performance
摘 要:A new method for online multiple-aircraft collision avoidance using an autonomous dependent surveillance-broadcast system is proposed. The key objective is to take advantage of satellite-based navigation technology to improve some deficiencies in the existing traffic collision avoidance system (TCAS). First, a brief review of TCAS and airborne collision avoidance system development is presented. Pros and cons of the existing system and critical gaps for future air traffic management are discussed. Next, a new method and its associated algorithmic development are proposed for multiple-aircraft collision avoidance. The proposed method is based on a collision risk map formulation in future dense airspace. A priority indexing method is used to reduce the complexity of trajectory optimization for real-time decision support. Dijkstra s algorithm is used to find cost-minimized trajectories for each aircraft to avoid collision. Convergence behavior and computationally efficient features of the method are investigated in detail. Several demonstration examples are illustrated to show the benefits of this method. Finally, comparison with the existing method and several major conclusions are drawn, based on the proposed study.