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为研究无场监雷达设施的大型机场航空器地面滑行冲突,构建航空器地面滑行冲突模型,提出基于广播式自动相关监视(ADS-B)数据并考虑航空器滑行轨迹时空交叠的机场安全热点识别方法。首先,分析2架航空器通过某滑行道或交叉道口的时间是否重叠,且航向差和距离是否满足阈值约束条件,以此识别机场热点;然后,重点研究机场热点随航向差阈值和距离阈值的变化情况;最后,用该方法识别西南某机场的安全热点,并将其与机场图中的热点位置进行对比分析。研究表明:用考虑航空器滑行轨迹时空交叠的机场热点识别方法所识别的机场热点位置更符合实际管制运行情况,能有效降低场面滑行冲突发生概率。
In order to study the ground taxiing conflict of large airport aircraft without a ground surveillance radar facility, a ground taxiing collision model is constructed. A method of airport security hot spot recognition based on ADS-B data and space-time overlap of aircraft taxiing trajectory is proposed. First of all, it analyzes the hotspot of the airport by analyzing whether the time when two aircrafts pass a taxiway or intersection and whether the heading difference and the distance meet the threshold constraint. Then, the paper studies the change of airport hotspot with the difference of heading and distance Finally, this method is used to identify the safety hot spots in an airport in Southwest China and compare them with the hot spots in the airport map. The research shows that the location of airport hotspots identified by the airport hotspot identification method considering space-time overlap of taxiway trajectory is more in line with the actual control operation, which can effectively reduce the probability of scene skid collision.