航班延误分布式检测与仿真

Real-time Detection Method of Airport Scheduled Flight Delay Using Distributed Artificial Immune

关于航班延误问题,已成为是困扰民航部门和广大旅客的热点,涉及多个环节和多种影响因素的航班延误状态检测是难点。针对某天某时刻航班实际运行发生的情况,将生物免疫系统机制与机场航班运行机制联系起来,为提高检测准确率,提出了一种分布式人工免疫模型的机场航班延误实时检测方法,采用分布式检测模型的特点,用各周次训练出来的检测器联合实时对下一时刻的机场离港航班延误状态进行检测,仿真结果表明方法不仅能够实时准确地检测机场离港航班状态,而且能够准确预测下一时间段累计延误航班数量,为航班延误预警提供决策支持。

Fight delays have become a hot point which has puzzled the civil aviation department and the vast travelers.Its state detection for many kinds of factors is difficulty.Aiming at the actual flights operation at a certain moment on some and associating the immune mechanism of a biological system with the flight operational mechanism of an airport,the paper proposes a real-time detecting method of airport scheduled flight delay based on distributed artificial immune model.The characteristics of the distributed detection model is used,and the trained detectors for each week to real-timely detect delayed state of the airport departure flights for the next moment are utilized.It is showed by simulation that this method can not only accurately detect real-time airport departure flight state,and also accurately predict the accumulated number of flights delayed for the next period of time.It provided decision support for the early warning of flight delays.