改进型空中交通流量预测算法的验证与实现

Verification and Implementation of the improved Air Traffic Flow Prediction method

摘要:

为了提升管制现场运行数据挖掘效率，改善现有空管流量预测系统存在系统结构与算法设计复杂性，提出一种基于空中交通管制自动化系统综合航迹数据和基础飞行数据交换报文处理的，能够实时修正航空器航迹4D剖面预测模型的流量预测算法。主要通过计划航迹和雷达航迹匹配关联算法模型以及利用航向角平面投影匹配算法提高流量预测的精确性。通过与当前主流的优秀算法对比和验证，方法能够全面、真实反映目标航迹当时运动态势和管制区域流量预测信息，工程实现较为简洁，具有一定的工程实践意义。

Abstract:

In order to improve inefficient data mining and Air Traffic Flow Prediction system with complicated system structure at present. An aircraft track 4D trajectory prediction model based on integrated track data and basic flight data exchange message processing based on air traffic control automation system is proposed, which can be corrected in real time. The design of the system mainly includes the model of correlation algorithm of planned track and radar track matching and the algorithm of course Angle plane projection matching. The results show that the system integrates multiple functions such as real-time display of radar targets, real-time statistics of control sector flow, and sector delivery information of target flights. It can more comprehensively and truly feedback the current movement situation of target tracks and sector flow prediction information.