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19-运输与物流讲堂-航空飞行器4D轨迹空间冲突检测和排除的高效算法
  发表时间:2019-07-17  阅读次数:2015

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主讲人:李伟钢 教授

邀请人:李枫 副教授

时间:2019年07月19日(周五)13:30

地点:通达馆436会议室

主讲人简介

        自1997年来在巴西利亚大学计算机系任教,历任副教授、教授、研究生主任和系主任。主持TransLab实验室,研发由CNPq、CAPES、FINEP和FAPDF等基金会资助的项目,兼任巴西科技基金委(CNPq)一级研究员。同时也负责研发由Atech、Boeing等企业资助的项目,2019年获得Boeing发明者奖章。多年来,共指导本科生、硕士生、博士生和博士后共60余人,发表各类学术文章200余篇。研究方向是人工智能及其应用,特别是在航空管制和数据挖掘等方面的应用。2017年获巴西航空总署航空交通署最佳科研论文奖。2006、2012和2019年担任巴西航空交通研究年会主席。

主讲内容简介

        The forecast for increase of air space usage in the next years demands the update of current Air Traffic Management (ATM) methods for safe and efficient operations. Implementation of Trajectory Based Operations (TBO) is proposed by the aviation community as an advancement in this direction, but there is still the need of an efficient scheme to present the trajectories, manage their associated data and further to detect and resolve the conflicts that should eventually occur. In this research we develop a conflict detection and resolution (CD&R) framework for the management of predicted 4-Dimensional Trajectory (4DT). Using the special scheme of a Not Only SQL (NoSQL) database, the 4D trajectories of related routes are presented and the possible conflicts are detected with the computation complexity in the order of O(nlog(n)). And then a local search algorithm is developed for trajectory adjustments and conflict resolution with better achievement of computation due to the significantly reduced conflict date set. Using the Brazilian flight plan database, the results from our case study show the effectiveness of the proposed methods for CD&R.

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