This paper presents a new method for predicting unimpeded taxi time based on the airport node–link model through statistical analysis of the airport surface detection equipment surveillance data. The proposed method can predict taxi-out and taxi-in times for departure and arrival flights, respectively, by calculating the link travel times on a node–link model of the airport surface movement. The prediction performance of the proposed method was evaluated using recorded track data from Incheon International Airport during April 2015. Furthermore, the prediction performance was compared with three other methods well known for calculating unimpeded taxi times. The root-mean-squared error of the unimpeded taxi times predicted by the proposed method showed a prediction error of about 1 min for the departure and arrival flights. Moreover, the results showed significant improvement in the predictions of the unimpeded taxi time compared to the other methods.

本文通过对机场地面检测设备监视数据进行统计分析，提出了一种基于机场节点链接模型的无障碍滑行时间预测的新方法。通过在机场地面运动的节点-链接模型上计算链接旅行时间，所提出的方法可以分别预测出发和到达航班的滑行和滑行时间。使用记录的仁川国际机场在2015年4月的航迹数据评估了该方法的预测性能。此外，将该预测性能与其他三种公知的无障碍出租车时间计算方法进行了比较。通过提出的方法预测的无阻碍滑行时间的均方根误差显示，出发和到达航班的预测误差约为1分钟。此外，