Agent-Based Modelling for Performance Management in Air Navigation Rainer Koelle, Lancaster University ICNS 2013
Overview
Introduction Problem Statement Modelling Findings Conclusions
PRR2012
Performance Management
EUROCONTROL
Performance Review
European Performance Scheme / Single European Sky Performance Indicators
Airport Arrival ATFM Delay
Additional Taxi-Out Time
Additional ASMA Time
Use Case – Airport Arrival Flow
Airport Network = traffic generator @ sector entries Different arrival strategies
100 NM
40 NM
Classical control “Constant pressure” Point Merge AMAN
Agent-Based Modelling and Simulation Repast Simphony
Agent-Based Modelling and Simulation = a natural fit Assessment of Agent Toolkits and Frameworks Æ Recursive Porous Agent Simulation Toolkit (Repast Simphony; http://repast.sourceforge.net/) Agent context / projection concept allows for iterative bottom-up and top-down modelling of (ATM) situations Repast supports simulation batch runs, and various online output and display features
Simulation Results
Additional ASMA time
Simulation Results
Traffic Increase
Conclusions
Performance Management requires “simulation” capability to inform strategic decision-making Agent-Based Modelling and Simulation (ABMS) one tool to support Performance Management ABMS offers iterative approach with macro/micro modelling capability Macro-level modelling allows for ‘relatively’ quick (coarse-grain) modelling; dependent on the chosen platform (here: Repast Simphony) efficient use of modelling concepts Further development envisaged to model interdependencies between indicators and across KPAs; potential to identify and ‘evaluate’ new indicators
Contact
Rainer Koelle EUROCONTROL
[email protected]
PRR2012
