Support to Design for Air Traffic Management: An Approach with Agent-Based Modelling and Evolutionary Search

Abstract

Verbatim from Embry-Riddle Scholarly Commons. Not paraphrased, not summarized.

This paper presents a methodology to manage the support to design in ATM operations. We propose a workflow for the design of ATM solutions in a performance-based setting. The methodology includes the evaluation of the impact on human behaviour and exploits a combination of different paradigms, such as Agent-Based Modelling and Simulation, and Agent-Based Evolutionary Search. We prove the soundness of the methodology by carrying out a real case study, which is the transition from Direct Routing to Free Routing in the Italian airspace. The validation results exhibit limited errors for the assessment of the performance metrics under evaluation. Furthermore, the optimization of sector collapsing/decollapsing configuration is discussed to demonstrate the effectiveness of the implemented engines.

Authors

• Gigante, Gabriella Embry-Riddle Aeronautical University
• Palumbo, Roberto Embry-Riddle Aeronautical University
• Pascarella, Domenico Embry-Riddle Aeronautical University
• Pellegrini, Alessandro Embry-Riddle Aeronautical University
• Duca, Gabriella Embry-Riddle Aeronautical University
• Piera, Miquel Angel Embry-Riddle Aeronautical University
• Ramos, Juan José Embry-Riddle Aeronautical University

Keywords

• Air Traffic Management
• Modelling and Simulation
• Agent-Based Modelling
• Evolutionary Computing
• Support to Design
• Human Factors
• Aviation
• Computational Engineering
• Management and Operations
• Multi-Vehicle Systems and Air Traffic Control