Maintaining the accuracy of an Instrument Landing System (ILS) is very important because it is the primary landing guidance system during bad weather in the U.S. Therefore, the FAA periodically checks the accuracy of an ILS and calibrates any deviation, a procedure called Flight Inspection (FI). In order to check the accuracy of an ILS, the FAA uses an Inertial-based Automated Flight Inspection...

Climate change (CC) and variability have been world widely reported to pose number of risks in aviation industry including accidents, astray, other operational difficulties. The impact weather on landing take-off performances has several times experienced at Abeid Amani Karume International Airport (AAKIA); however, the influence climate aircraft performance needs be assessed. Thus, this study ...

This study aims to develop a controllers decision support tool for departure and surface management of ICN. Airport surface traffic optimization for Incheon International Airport (ICN) in South Korea was studied based on the operational characteristics of ICN and airspace of Korea. For surface traffic optimization, a multiple runway scheduling problem and a taxi scheduling problem were formulat...

Capacity limitation of runway and taxiway in an airport is often the major limiting factor of air traffic operation. The congestions on the apron of an airport cause severe delay on aircraft schedule. This paper proposes an integrated algorithm to solve problems of runway scheduling and taxiway routing simultaneously for both departure and arrival aircrafts. A set partitioning model with side c...

Runway is a cloud-native tool for managing machine learning experiments and their associated models. The iterative nature of developing models results in a large number of experiments and models that are often managed in an ad hoc manner. Runway is a workflow and framework independent tool that centrally manages and maintains metadata and links to artifacts needed to reproduce models and experi...

guidance and control of aircraft in the landing phase imposes extra pilot work loads, hence application of automatic landing control systems is of great importance. in this study automatic landing control systems are introduced and an optimal landing control system is designed. the control system performance criteria are based on minimum control effort. the designed system is simulated for a tr...

In this paper, a robust control strategy applied on a small helicopter is proposed. An approximate small-scale helicopter model with decoupled dynamics is adopted for the controller design which uses the backstepping method based on the Lyapunov function. The Lyapunov function is used to show the robustness of the proposed control method under conditions of wind gusts. Finally simulation result...

In this study, we set the average taxi time of flight as the objective of the gate and runway assignment problem. We present a gate and runway combinatorial optimization model with several restrictions such as restrictions of gate and runway time, type of aircraft and service. We design a Discrete Particle Swarm Optimization (DPSO) algorithm to solve this problem. Inspired by the genetic algori...

We present a probabilistic method for fusion of images produced by multiple sensors The approach is based on an image formation model in which the sensor images are noisy locally linear functions of an underlying true scene latent variable A Bayesian framework then provides for maximum likelihood or maximum a posteriori estimates of the true scene from the sensor images Least squares estimates ...

To mitigate the risk of wake vortex encounters during final approach, so-called plate lines have been developed. Wake vortices generated by landing aircraft induce secondary at plates’ surfaces that approach primary and trigger premature decay. Each line consists several upright plates being installed underneath slope. While extends perpendicular to flight direction, its individual are oriented...