scholarly journals Assessment of the GIS-Aided Precise Approach Using the GNSS-GBAS Landing Systems

2020 ◽  
Vol 32 (2) ◽  
pp. 49-65
Author(s):  
Ahmad Alhosban

The radio navigational Instrument Landing Systems (ILSs) are currently intended to guide the aircrafts in  lateral and vertical dimensions to the runway surface safely and precisely. Therefore, they are strongly  related to the geographic location of an airport and  its runway(s). The ILS systems use the aids of the radio frequency radiation to achieve this purpose,  depending on the ground emitting stations, and providing the guidance to the runway centreline location along with the glide slope guidance during  the Final Approach Segment (FAS). Furthermore, the  new ILS systems are fully aided by the coordinates of  the Global Positioning System (GPS) instead of the ground radiations, they use the waypoint fixes during the landing phase of flight by means of transmitting their corrections to the on-board receivers. Those new invented Ground Based Augmentation Systems (GBAS) are more precise and trustable, they also increase the capacity of the huge air traffic demands nowadays by multiple and non-straight approaches.  As a result, the Geographic Information System (GIS)  of any airport supported by the GBAS system is intended to be fully used and implemented in both  instrumental and procedural aids. Many previous  studies had indicated that the old procedural approaches should be changed to the new GIS aided ones, but without pointing out when and how to  implement such important transfer. The purpose of this study is to assess the performance of the GIS aided precision procedures using the GBAS stations, and to identify to what extent they can enhance the  navigational aviation in the air traffic management domain. A special focus will be put on the Hungarian Budapest international airport in terms of both capability motivating factors and the current GIS infrastructure aiding. Results showed a promising chance for more investment in installing the GBAS stations in the airport. That will enable more capacity and easier approaches in all weather conditions.

2021 ◽  
Vol 13 (3) ◽  
pp. 1383
Author(s):  
Judith Rosenow ◽  
Martin Lindner ◽  
Joachim Scheiderer

The implementation of Trajectory-Based Operations, invented by the Single European Sky Air Traffic Management Research program SESAR, enables airlines to fly along optimized waypoint-less trajectories and accordingly to significantly increase the sustainability of the air transport system in a business with increasing environmental awareness. However, unsteady weather conditions and uncertain weather forecasts might induce the necessity to re-optimize the trajectory during the flight. By considering a re-optimization of the trajectory during the flight they further support air traffic control towards achieving precise air traffic flow management and, in consequence, an increase in airspace and airport capacity. However, the re-optimization leads to an increase in the operator and controller’s task loads which must be balanced with the benefit of the re-optimization. From this follows that operators need a decision support under which circumstances and how often a trajectory re-optimization should be carried out. Local numerical weather service providers issue hourly weather forecasts for the coming hour. Such weather data sets covering three months were used to re-optimize a daily A320 flight from Seattle to New York every hour and to calculate the effects of this re-optimization on fuel consumption and deviation from the filed path. Therefore, a simulation-based trajectory optimization tool was used. Fuel savings between 0.5% and 7% per flight were achieved despite minor differences in wind speed between two consecutive weather forecasts in the order of 0.5 m s−1. The calculated lateral deviations from the filed path within 1 nautical mile were always very small. Thus, the method could be easily implemented in current flight operations. The developed performance indicators could help operators to evaluate the re-optimization and to initiate its activation as a new flight plan accordingly.


Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1708
Author(s):  
Rafael Casado ◽  
Aurelio Bermúdez

Conflict detection and resolution is one of the main topics in air traffic management. Traditional approaches to this problem use all the available information to predict future aircraft trajectories. In this work, we propose the use of a neural network to determine whether a particular configuration of aircraft in the final approach phase will break the minimum separation requirements established by aviation rules. To achieve this, the network must be effectively trained with a large enough database, in which configurations are labeled as leading to conflict or not. We detail the way in which this training database has been obtained and the subsequent neural network design and training process. Results show that a simple network can provide a high accuracy, and therefore, we consider that it may be the basis of a useful decision support tool for both air traffic controllers and airborne autonomous navigation systems.


Aerospace ◽  
2018 ◽  
Vol 5 (4) ◽  
pp. 109 ◽  
Author(s):  
Michael Schultz ◽  
Sandro Lorenz ◽  
Reinhard Schmitz ◽  
Luis Delgado

Weather events have a significant impact on airport performance and cause delayed operations if the airport capacity is constrained. We provide quantification of the individual airport performance with regards to an aggregated weather-performance metric. Specific weather phenomena are categorized by the air traffic management airport performance weather algorithm, which aims to quantify weather conditions at airports based on aviation routine meteorological reports. Our results are computed from a data set of 20.5 million European flights of 2013 and local weather data. A methodology is presented to evaluate the impact of weather events on the airport performance and to select the appropriate threshold for significant weather conditions. To provide an efficient method to capture the impact of weather, we modelled departing and arrival delays with probability distributions, which depend on airport size and meteorological impacts. These derived airport performance scores could be used in comprehensive air traffic network simulations to evaluate the network impact caused by weather induced local performance deterioration.


2018 ◽  
Vol 21 (5) ◽  
pp. 43-55 ◽  
Author(s):  
A. O. Nikulin

In the article the analysis of functioning a joint decision-making (A-CDM) system of Sheremetyevo Airport is presented during airport operation in a "rush hour". Domestic and international programs of air traffic management (ATM) development assume that the airports will be completely included into the air traffic management network as components of this network. Cooperative decision-making will be used to provide a "seamless" process of planning. This process will take place with participation of airspace users, suppliers of an air navigation service and airports (with use of the automated facilities of arrival, departure and traffic on airfield surface) for the benefit of sequence management to increase runway capacity. The runway equipment has to be modernized, separation standards among aircraft on arrival and departure should be reduced, modern navigation and traffic control on an airfield surface aids have to operate. The runway is referred to the resources which operate according to the principle of only one client service. Influence of weather conditions (the wet runway, severe wind, low visibility) determines the airfield capacity. Arrival and departure control allows optimizing aerodrome operation from the view of cost efficiency and ecology. The system of joint decision-making for an airport is a complex of the procedures aimed at increasing level of air traffic flows organization, airfield and airspace capacity through raising a level of event predictability and optimization of the resource use process. The system allows operating information to obtain the modified output data for decision-making. The main system objectives are to increase the level of temporary accuracy of an event emergence and also its predictability.


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