4D Trajectory Modeling and Pub/Sub Mechanism Based on Interoperability Mode

2013 ◽  
Vol 411-414 ◽  
pp. 2758-2762
Author(s):  
Jie Ning Wang ◽  
He Sun ◽  
Mei Dong
Keyword(s):  
Traffic Management ◽  
Data Exchange ◽  
New Technologies ◽  
Control Method ◽  
Rapid Development ◽  
Air Traffic Management ◽  
Xml Schema ◽  
Air Traffic ◽  
Data Synchronization ◽  
Trajectory Design

With the rapid development of air traffic management, a number of new technologies will replace today control method. In the future, aircrafts can keep appropriate interval according to control intention. And controllers will command the whole situation in real-time. On the basis of the 4D trajectory design and plan of American in air traffic management, we establish 4D trajectory model by UML and XML Schema. Then the Pub/Sub mechanism is modeled and analyzed. Through analyzing the QoS data synchronization, we can regulate data exchange which under 4D trajectory interoperability effectively.

Simulation of the introduction of new technologies in air traffic management

2015 ◽  
Vol 27 (3) ◽  
pp. 269-287
Author(s):  
Logan Yliniemi ◽  
Adrian K. Agogino ◽  
Kagan Tumer
Keyword(s):  
Traffic Management ◽  
New Technologies ◽  
Air Traffic Management ◽  
Air Traffic

Information Manager for Determining Data Presentation Preferences in Future Enroute Air Traffic Management

1998 ◽  
Vol 42 (1) ◽  
pp. 47-51
Author(s):  
Jacqueline A. Duley ◽  
Scott M. Galster ◽  
Raja Parasuraman
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Information Needs ◽  
New Technologies ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Air Traffic Controller ◽  
Adaptive Automation ◽  
Presentation Frequency ◽  
Traffic Manager

One proposed vision of the future National Airspace System (NAS) involves a change in philosophy from that of air traffic control to one of air traffic management, i.e. Free Flight. In order to accommodate this philosophy change, new technologies will be implemented to assist the air traffic manager (today's air traffic controller) in decision making. When enhancing the system we must also consider the interface between the air traffic manager and this new system and its corresponding new philosophy. To better determine the design of such an interface we must first understand the information needs of the air traffic manager. The present study investigated the information requirements of 58 enroute air traffic controllers. The controllers provided their preferences in presentation frequency as well as the importance of the information to be displayed. The results reveal the potential for adaptive automation as a form of information management.

Hybrid Control of Air Traffic Management

1999 ◽  
Author(s):  
Claire J. Tomlin
Keyword(s):  
Traffic Management ◽  
New Technologies ◽  
Hybrid Control ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Computational Method ◽  
Mathematical Representation ◽  
Ongoing Research ◽  
Traffic Management System ◽  
Nonlinear Hybrid

Abstract This paper provides a brief introduction to air traffic management and to two new technologies available for its modernization. A new architecture for an automated air traffic management system is introduced, and a mathematical representation of such an architecture, called a nonlinear hybrid system, is presented. A computational method for synthesizing controllers for hybrid systems is then discussed, followed by a two-aircraft conflict resolution example. The paper is concluded with a discussion of ongoing research.

Safety Culture and Safety-Relevant Behavior in Air Traffic Management

2015 ◽  
Vol 5 (1) ◽  
pp. 3-17 ◽  
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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