Performance Evaluation and Optimal Decision-making for Strategic Air Traffic Management under Weather Uncertainty

2012 ◽  
Author(s):  
Yi Zhou ◽  
Yan Wan ◽  
Christine Taylor ◽  
Sandip Roy ◽  
Craig Wanke
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Optimal Decision ◽  
Weather Uncertainty ◽  
Optimal Decision Making

scholarly journals Trajectory prediction for future air traffic management – complex manoeuvres and taxiing

2015 ◽  
Vol 119 (1212) ◽  
pp. 121-143 ◽  
Author(s):  
W. Schuster
Keyword(s):  
Decision Making ◽  
Traffic Management ◽  
Model Performance ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Optimal Decision ◽  
Trajectory Prediction ◽  
Potential Conflict ◽  
Flight Data ◽  
The Future

AbstractThe future air traffic management (ATM) concept envisaged by the Single European Sky ATM Research – SESAR – and the USA equivalent NextGen, mark a paradigm shift from the current reactive approach of ATM towards holistic strategic collaborative decision making. The core of the future ATM concept relies on common situational awareness over potentially large time-horizons, based upon the user operational intent. This is beyond human capabilities and requires the support of automation tools to predict aircraft state throughout the operation and provide support to optimal decision making long before any potential conflict may arise. This is achieved with trajectory predictors and conflict detectors and resolvers respectively. Numerous tools have been developed, typically geared towards addressing specific airborne applications. However, a comprehensive literature search suggests that none of the tools was designed to predict trajectories throughout the entire operation of an aircraft, i.e. gate-to-gate. Yet, such functionality is relevant in the holistic optimisation of aircraft operations. To address this gap, this paper builds on an existing en route trajectory prediction (TP) model and develops novel techniques to predict aircraft trajectories for the transitions between the ground- and enroute-phases of operation and for the ground-phase, thereby enabling gate-to-gate (or enroute -to-enroute) TP. The model is developed on the basis of Newtonian physics and operational procedures. Real recorded data obtained from a flight data record (FDR) were used to estimate some of the input parameters required by the model. The remaining parameters were taken from the BADA 3.7 model. Performance results using these flight data demonstrate that the proposed TP model has the potential to accurately predict gate-to-gate trajectories and to support future ATM applications such as gate-to-gate synchronisation.

Collaborative Decision Making and Information Sharing for Air Traffic Management Operations

2010 ◽  
pp. 260-286
Author(s):  
Osvandre Alves Martins ◽  
Denis Silva Loubach ◽  
Giovani Volnei Meinerz ◽  
Adilson Marques da Cunha
Keyword(s):  
Decision Making ◽  
Information Sharing ◽  
Information Management ◽  
System Integration ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Collaborative Decision Making ◽  
Management Philosophy ◽  
Collaborative Decision

One of the most notable concepts related to the future cooperative Air Traffic Management (ATM) is the Collaborative Decision Making (CDM). This new management philosophy of using collaborative technologies and procedures to enable ATM partners drives efforts towards the common goals of sharing and exchanging information. To support the implementation of CDM, a likely solution was found in the context of System of Systems (SoS), system integration, and interoperability. Service-Oriented Architecture (SOA) principles and technologies were recognized as one of the best alternatives to allow this implementation. Within this architecture, the System Wide Information Management (SWIM) has been developed on the last decade, and SWIM applications will be accessible to all ATM partners on the next decade by providing full airspace information, updated in real-time by all involved partners. This chapter presents an overview of key elements in information sharing for ATM and explains how SOA, SWIM, Aeronautical Information Management (AIM) and CDM support each other development.

scholarly journals An Integrated Decision-Making Approach for Improving European Air Traffic Management

2008 ◽  
Vol 54 (8) ◽  
pp. 1395-1409 ◽  
Author(s):  
Yael Grushka-Cockayne ◽  
Bert De Reyck ◽  
Zeger Degraeve
Keyword(s):  
Decision Making ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Integrated Decision Making
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