From the start, the airline industry has remarkably connected countries all over the world
through rapid long-distance transportation, helping people overcome geographic barriers …

Flight departure delay prediction is one of the most critical components of intelligent aviation
systems. The accurate prediction of flight departure delays can provide passengers with …

Taxiing remains a major bottleneck at many airports. Recently, several approaches to
allocating efficient routes for taxiing aircraft have been proposed. The routing algorithms …

Airport arrival and departure movements are characterized by high dynamism, stochasticity,
and uncertainty. Therefore, it is of paramount importance to predict and analyze surface taxi …

Runway utilisation is a function of actual yearly runway throughput and annual capacity. The
aim of the analysis in this project is to find data driven prediction models based on the …

This study presents three different machine learning (ML) models to estimate the flight block
time for commercial airlines. The models rely only on explanatory variables that airlines …

Accurate prediction of taxi-out time is essential for enhancing airport performance and flight
efficiency. In this paper, we apply machine learning techniques to predict the taxi-out time of …

With the current growth of the number of airline passengers using JFK airport on everyday
basis, massive delays occur throughout the system, which causes a significant bottleneck …

Accurate prediction of aircraft taxi time is crucial to optimizing route scheduling and
improving airport efficiency. However, studies usually give only a single deterministic taxi …

准确地预测离港航空器滑出时间可有效提升机场场面运行效率, 降低运行成本. 构建基于BP
神经网络的离港航空器滑出时间预测模型, 分析影响离港航空器滑出时间的可量化因素 …