報(bào)告題目：航空飛行器4D軌跡空間沖突檢測和排除的高效算法
Conflict Detection and Resolution for 4D Trajectory Management with Efficient Computation
報(bào)告人：李偉鋼教授（巴西利亞大學(xué)）
主持人：潘泉教授 李天成教授
報(bào)告時(shí)間：2019年7月16日（周二）上午10:30
報(bào)告地點(diǎn)：自動化學(xué)院341會議室
報(bào)告簡介：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.
報(bào)告人簡歷
李偉鋼，自1997年來在巴西利亞大學(xué)計(jì)算機(jī)系任教，歷任副教授、教授、研究生主任和系主任。主持TransLab實(shí)驗(yàn)室，研發(fā)由CNPq、CAPES、FINEP和FAPDF等基金會資助的項(xiàng)目，兼任巴西科技基金委（CNPq）一級研究員。同時(shí)也負(fù)責(zé)研發(fā)由Atech、Boeing等企業(yè)資助的項(xiàng)目，2019年獲得Boeing發(fā)明者獎?wù)隆６嗄陙恚仓笇?dǎo)本科生、碩士生、博士生和博士后共60余人，發(fā)表各類學(xué)術(shù)文章200余篇。研究方向是人工智能及其應(yīng)用，特別是在航空管制和數(shù)據(jù)挖掘等方面的重大工程應(yīng)用。2017年獲巴西航空總署航空交通署最佳科研論文獎。2006、2012和2019年擔(dān)任巴西航空交通研究年會主席。
