scholarly journals Calculation of AeroMACS Spectrum Requirements Based on Traffic Simulator

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3343
Author(s):  
Hong-Gi Shin ◽  
Hyung-Jung Kim ◽  
SangWook Lee ◽  
Hyungoo Yoon ◽  
Yong-Hoon Choi
Keyword(s):  
Spectral Efficiency ◽  
Traffic Management ◽  
Statistical Data ◽  
Air Traffic Management ◽  
Peak Time ◽  
Management Research ◽  
Communication Services ◽  
Traffic Demand ◽  
Real Trace ◽  
Simulation Results

In this paper, we propose a methodology for calculating the necessary spectrum requirements of aeronautical mobile airport communication system (AeroMACS) to provide various airport communication services. To accurately calculate the spectrum requirement, it is necessary to evaluate the AeroMACS traffic demand of the peak time and statistical data on the packet traffic generated at the airport. Because there is no AeroMACS traffic model and real trace data, we have developed the AeroMACS traffic simulator based on the report of Single European Sky Air Traffic Management Research (SESAR). To calculate the spectrum requirements, the AeroMACS traffic simulator is combined with the methodology of ITU-R M.1768-1. The developed traffic simulator reflects AeroMACS traffic priorities and can generate the required traffic according to its location in the airport. We observed the spectrum requirement by changing the number of sectors and the spectral efficiency. To show the feasibility of our methodology, we applied it to the case of Incheon International Airport in Korea. The simulation results show that the average bandwidth of 0.94 MHz is required in the ground area and 8.59 MHz is required in the entire airport.

The Application of Advanced Systems – An Airline Perspective

1994 ◽  
Vol 47 (2) ◽  
pp. 177-180
Author(s):  
K. Reid
Keyword(s):  
North Atlantic ◽  
Airline Industry ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Civil Aviation ◽  
Peak Time ◽  
The North ◽  
Movement Study ◽  
Track Area ◽  
Navigation Equipment

The achievement of the goals of the International Civil Aviation Organization (ICAO) Future Air Navigation System (FANS) is essential for the continued development of the airline industry. A recently completed movement study for the North Atlantic Track area forecast that the previously anticipated aircraft movements for 2010 would now be achieved by 1999. Peak time capacity growth for the region is now reliant on the introduction of Reduced Vertical Separation Minima (RVSM) scheduled for January 1997. Similarly, Europe had an all-too-evident capacity problem though some alleviation should follow from the introduction of precision area navigation (PRNAV) routeings in early 1998. However, despite the introduction of these developments, the restrictions on flow rates imposed by capacity variations in adjacent areas will remain. Quite obviously, an enhanced and fully capable Air Traffic Management (ATM) environment is required to solve many of the problems that commonly exist today. Nevertheless, more could be achieved through the application and exploitation of advanced navigation equipment such as the aircraft Flight Management Computer System (FMS) that is in widespread use today – a theme that will be returned to later in the paper.

scholarly journals Relationship between air traffic demand, safety and complexity in high density airspace in Europe

2020 ◽  
Vol 314 ◽  
pp. 01004
Author(s):  
Tamara Pejovic ◽  
Fedja Natjasov ◽  
Dusan Crnogorac
Keyword(s):  
Traffic Management ◽  
Flow Characteristics ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Traffic Demand ◽  
Traffic System ◽  
Traffic Distribution ◽  
Traffic Performance ◽  
Aircraft Type ◽  
Conflict Risk

Air traffic performance of the European air traffic system depends not only on traffic demand but also on airspace structure and its traffic distribution. These structural (airspace structure) and flow characteristics (factors such as traffic volume, climbing/descending traffic, mix of aircraft type, military area activity) influence airspace complexity, which can affect controller workload and influence the probability of safety occurrence. In other words, all these dynamic and static complexity components can potentially have an impact upon the safety of the air traffic management (ATM) system. Having in mind fluctuation in traffic on daily, seasonal or annual level in certain airspace, a few questions arise: How changes in traffic demand influence complexity and conflict risk? Is there any correlation between traffic demand, conflict risk and complexity? Are there any differences between seasons? For that purpose, an investigation is performed on FAB Europe Central (FABEC) airspace, based on two weeks of operated traffic during the summer and winter of 2017. Air traffic complexity is estimated using the EUROCONTROL complexity metrics, while conflict risk is assessed using the conflict risk assessment simulation tool. Results show that certain positive relationship exists between traffic demand, conflict risk and complexity.

scholarly journals A Method for SWIM-Compliant Human-in-the-Loop Simulation of Airport Air Traffic Management

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Thomas Gräupl ◽  
Martin Mayr ◽  
Carl-Herbert Rokitansky
Keyword(s):  
Traffic Management ◽  
Reference Model ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Management Research ◽  
Service Oriented Architectures ◽  
Human In The Loop ◽  
Management Domain ◽  
Communication Layer ◽  
Service Oriented

System Wide Information Management(SWIM), as envisioned by theSingle European Sky Air Traffic Management Research(SESAR) program, is the application of service oriented architectures to the air traffic management domain. Service oriented architectures are widely deployed in business and finance but usually tied to one specific technological implementation. SWIM goes one step further by defining only the semantic layer of the application integration and leaving the implementation of the communication layer open to the implementer. The shift from legacy communication patterns to SWIM is fundamental for the expected evolution of air traffic management in the next decades. However, the air traffic management simulators currently in use do not reflect this yet. SWIM compliance is defined by semantic compatibility to theAir Traffic Management Information Reference Model(AIRM) and a SWIM service may implement one or more communication profiles, which specify a communication layer implementation. This work proposes a SWIM-compliant communication profile suitable to integrate SWIM-compliant tools into human-in-the-loop simulations for air traffic management research. We achieve this objective by implementing a SWIM communication profile using XML-based multicast messaging and extending the message format to support distributed human-in-the-loop simulations. We demonstrate our method by the evaluation of Hamburg Airport operations.

Workload-Based Capacity for Air Traffic Management

2015 ◽  
Vol 2501 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Kenneth S. Lindsay
Keyword(s):  
Traffic Management ◽  
System Development ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Time On Task ◽  
National Airspace System ◽  
Traffic Demand ◽  
Workload Capacity ◽  
Convective Weather ◽  
Parameter Values

The charter of FAA is to promote the safe, orderly, and expeditious use of the National Airspace System (NAS). To ensure that traffic flow is safe and efficient, FAA needs to know the expected traffic demand on the sector and the sector's capacity to accommodate that demand. When sector capacity is inadequate to meet the demand, congestion occurs. To ensure that safety is not compromised, FAA often takes action to reduce demand or increase capacity to avoid congestion. The MITRE Corporation's Center for Advanced Aviation System Development developed a time-on-task workload model to assess capacity and congestion in en route NAS sectors. A metric was developed and used along with the workload generated by the model and a workload threshold to estimate sector capacity. The metric, as constructed, enabled equitable comparison of capacity of different sectors, regardless of size. A field and lab evaluation of the workload model was used to quantify the model's task coverage and to calibrate its parameter values. The workload model was used to generate workload, capacity, and congestion profiles for selected en route sectors during good weather and during convective weather. The data used to generate the profiles can be used for various air traffic management applications.

Challenges of air traffic management research - Analysis, simulation, and field test

1997 ◽  
Author(s):  
Dallas Denery ◽  
Heinz Erzberger ◽  
Thomas Davis ◽  
Steven Green ◽  
B. McNally ◽  
...  
Keyword(s):  
Field Test ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Management Research ◽  
Research Analysis
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