National Airspace System Simulation Capturing the Interactions of Air Traffic Management and Flight Trajectories

Congestion is a problem at major airports in the world. Airports, especially high-traffic ones, tend to be the bottleneck in the air traffic control system. The problem that arises for the airspace planner is how to mitigate air congestion and its consequent delay, which causes increased cost for airlines and discomfort for passengers. Most congestion problems are fixed on the day of operations in a tactically manner using operational enhancements measures. Collaborative Trajectory Options Program (CTOP) aims to improve air traffic management (ATM) considering National Airspace System (NAS) users business goals, particularities faced by each flight and airspace restrictions, making this process more flexible and financially stable for those involved. In CTOP, airlines share their route preferences with the air control authority, combining delay and reroute. When CTOP is created, each airline might decide its strategy without knowledge of other airline’s flights. Current solutions for this problem are based on greedy methods and game theory. There is potential space to improve. This paper examines CTOP and identifies important strategic changes to ATM adopting this philosophy, particularly in Brazil.

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Evaluating the impact of NextGen‘s air traffic system on aviation security

MATEC Web of Conferences ◽

10.1051/matecconf/201818910030 ◽

2018 ◽

Vol 189 ◽

pp. 10030

Author(s):

LV Weiland ◽

G Wei

Keyword(s):

Traffic Management ◽

Air Transportation ◽

Air Traffic Management ◽

Air Traffic ◽

Control Measures ◽

Information Technology Industry ◽

National Airspace System ◽

Traffic System ◽

Technology Industry ◽

The Impact

Networked Next Generation Air Transportation System (NextGen) opened the gate to digital National Airspace System (NAS) in cyberspace. Air traffic improvements from NextGen system, accompanied by the risk of long-standing cyberattack issue in information technology industry became an increasingly challenging matter to the aviation community and Air Traffic Management (ATM), as cybersecurity challenges in the NextGen system could affect NextGen's principle assurance of safety and security in air transportation. The technological shift of NAS infrastructure from traditional radar-based systems to networking system of systems leads to a review, revision and redefinition of current policies, standards regelations, cultures and norm to reflect and mitigate new risks. Through analysing reports, regulations, standards, practices, recommendations from government and industry, the researchers analyse security impacts to NextGen; the risk of a cybersecurity incidents; and regulations to identify most effective and efficient control measures over information systems in ATM, and direction to further research.

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Workload-Based Capacity for Air Traffic Management

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2501-02 ◽

2015 ◽

Vol 2501 (1) ◽

pp. 9-17 ◽

Cited By ~ 4

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.

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Statistical characterization of deviations from planned flight trajectories in air traffic management

Journal of Air Transport Management ◽

10.1016/j.jairtraman.2016.10.009 ◽

2017 ◽

Vol 58 ◽

pp. 152-163 ◽

Cited By ~ 9

Author(s):

C. Bongiorno ◽

G. Gurtner ◽

F. Lillo ◽

R.N. Mantegna ◽

S. Miccichè

Keyword(s):

Traffic Management ◽

Air Traffic Management ◽

Air Traffic ◽

Statistical Characterization ◽

Flight Trajectories

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Safety Culture and Safety-Relevant Behavior in Air Traffic Management

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000068 ◽

2015 ◽

Vol 5 (1) ◽

pp. 3-17 ◽

Cited By ~ 5

Author(s):

Michaela Schwarz ◽

K. Wolfgang Kallus

Keyword(s):

Safety Culture ◽

Traffic Management ◽

Service Providers ◽

Five Factor Model ◽

Principal Component ◽

Air Traffic Management ◽

Air Traffic ◽

Psychometric Validation ◽

Safety Attitudes ◽

Culture Development

Since 2010, air navigation service providers have been mandated to implement a positive and proactive safety culture based on shared beliefs, assumptions, and values regarding safety. This mandate raised the need to develop and validate a concept and tools to assess the level of safety culture in organizations. An initial set of 40 safety culture questions based on eight themes underwent psychometric validation. Principal component analysis was applied to data from 282 air traffic management staff, producing a five-factor model of informed culture, reporting and learning culture, just culture, and flexible culture, as well as management’s safety attitudes. This five-factor solution was validated across two different occupational groups and assessment dates (construct validity). Criterion validity was partly achieved by predicting safety-relevant behavior on the job through three out of five safety culture scores. Results indicated a nonlinear relationship with safety culture scales. Overall the proposed concept proved reliable and valid with respect to safety culture development, providing a robust foundation for managers, safety experts, and operational and safety researchers to measure and further improve the level of safety culture within the air traffic management context.

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