An Empirically grounded Agent Based simulator for Air Traffic Management in the SESAR scenario

Gurtner, G., Bongiorno, C., Ducci, M. and Miccichè, S. 2017. An Empirically grounded Agent Based simulator for Air Traffic Management in the SESAR scenario. Journal of Air Transport Management. 59, pp. 26-43.

TitleAn Empirically grounded Agent Based simulator for Air Traffic Management in the SESAR scenario
AuthorsGurtner, G., Bongiorno, C., Ducci, M. and Miccichè, S.
Abstract

In this paper we present a simulator allowing to perform policy experiments relative to the air traffic management. Different SESAR solutions can be implemented in the model to see the reaction of the different stakeholders as well as other relevant metrics (delay, safety, etc). The model describes both the strategic phase associated to the planning of the flight trajectories and the tactical modifications occurring in the en-route phase. An implementation of the model is available as an open-source software and is freely accessible by any user.

More specifically, different procedures related to business trajectories and free-routing are tested and we illustrate the capabilities of the model on an airspace which implements these concepts. After performing numerical simulations with the model, we show that in a free-routing scenario the controllers perform less operations but the conflicts are dispersed over a larger portion of the airspace. This can potentially increase the complexity of conflict detection and resolution for controllers.

In order to investigate this specific aspect, we consider some metrics used to measure traffic complexity. We first show that in non-free-routing situations our simulator deals with complexity in a way similar to what humans would do. This allows us to be confident that the results of our numerical simulations relative to the free-routing can reasonably forecast how human controllers would behave in this new situation. Specifically, our numerical simulations show that most of the complexity metrics decrease with free-routing, while the few metrics which increase are all linked to the flight level changes. This is a non-trivial result since intuitively the complexity should increase with free-routing because of problematic geometries and more dispersed conflicts over the airspace.

KeywordsAir Traffic Simulator; Agent-Based Model; ABM; Air Traffic Management; ATM; airspace complexity; free-routing
JournalJournal of Air Transport Management
Journal citation59, pp. 26-43
ISSN0969-6997
Year2017
PublisherElsevier
Accepted author manuscriptpaper_air_traffic_simulator_for_publication_edited.pdf
Digital Object Identifier (DOI)doi:10.1016/j.jairtraman.2016.11.004
Publication dates
Published in printMar 2017
Published online29 Nov 2016
Published29 Nov 2016

Related outputs

Vista D5.1 - Initial Assessment Report
Delgado, L., Gurtner, G., Cristobal, S., Martín, G. and Cook, A.J. 2018. Vista D5.1 - Initial Assessment Report.

The economic value of additional airport departure capacity
Gurtner, G., Cook, A.J., Graham, A. and Cristobal, S. 2018. The economic value of additional airport departure capacity. Journal of Air Transport Management. 69, pp. 1-14.

Strategic allocation of flight plans in air traffic management: an evolutionary point of view
Gurtner, G. and Lillo, F. 2018. Strategic allocation of flight plans in air traffic management: an evolutionary point of view. Dynamic Games and Applications. 8 (4), p. 799–821.

Vista D2.1 Supporting Data for Business and Regulatory Scenarios Report
Delgado, L., Gurtner, G., Cook, A.J., Plets, H., Perez, D., Cristobal, S., Triska, A., Patey, S. and Andrésson, E.I. 2017. Vista D2.1 Supporting Data for Business and Regulatory Scenarios Report.

Vista D6.2 - Stakeholder Consultation on Business and Regulatory Scenarios
Delgado, L., Gurtner, G. and Tanner, G. 2017. Vista D6.2 - Stakeholder Consultation on Business and Regulatory Scenarios.

DATASET2050 D5.2 - Assessment execution
Cook, A.J., Tanner, G., Gurtner, G., Ureta, H., Cristobal, S., Belkoura, S., Gómez, I., Paul, A., Kluge, U. and Hullah, P. 2017. DATASET2050 D5.2 - Assessment execution.

DATASET2050 D5.1 - Mobility assessment
Hullah, P., Kirby, S., Cook, A.J., Tanner, G., Gurtner, G., Ureta, H., Cristobal, S. and Gómez, I. 2017. DATASET2050 D5.1 - Mobility assessment.

Building a Holistic ATM Model for Future KPI Trade-Offs
Gurtner, G., Delgado, L., Cook, A.J., Martin, J., Cristobal, S. and Plets, H. 2017. Building a Holistic ATM Model for Future KPI Trade-Offs. Schaefer, D. (ed.) SESAR Innovation Days 2017. Belgrade, Serbia 28 - 30 Nov 2017 SESAR.

Building a Holistic ATM Model for Future KPI Trade-Offs
Gurtner, G., Delgado, L., Cook, A.J., Martin, J., Cristobal, S. and Plets, H. 2017. Building a Holistic ATM Model for Future KPI Trade-Offs. Schaefer, D. (ed.) SESAR Innovation Days 2017. Belgrade, Serbia 28 - 30 Nov 2017 SESAR.

Indicator development: how could we improve existing indicators and which new ones do we need?
Cook, A.J., Gurtner, G. and Delgado, L. 2017. Indicator development: how could we improve existing indicators and which new ones do we need? Vista Workshop. Vienna, Austria 23 - 23 Oct 2017

The Vista model: the challenges of building a holistic model across the strategic, pre-tactical and tactical phases of ATM
Gurtner, G., Cook, A.J. and Delgado, L. 2017. The Vista model: the challenges of building a holistic model across the strategic, pre-tactical and tactical phases of ATM. Vista Workshop. Vienna, Austria 23 - 23 Oct 2017

Modelling the 2035 and 2050 timeframes: key business and regulatory factors to be considered
Delgado, L., Gurtner, G. and Cook, A.J. 2017. Modelling the 2035 and 2050 timeframes: key business and regulatory factors to be considered. Vista workshop. Vienna, Austria 23 Oct 2017

Modelling strategic trade-offs - insights into the SESAR ‘Vista’ project
Cook, A.J., Delgado, L. and Gurtner, G. 2017. Modelling strategic trade-offs - insights into the SESAR ‘Vista’ project . AGIFORS 57th Annual Symposium. London 02 - 06 Oct 2017

Understanding KPI trade-offs - key challenges of modelling architectures and data acquisition
Gurtner, G. and Cook, A.J. 2017. Understanding KPI trade-offs - key challenges of modelling architectures and data acquisition. Data Science in Aviation 2017 Workshop. Cologne, Germany 29 Sep 2017

Vista - market forces trade‐offs impacting European ATM performance
Delgado, L., Gurtner, G. and Cook, A.J. 2017. Vista - market forces trade‐offs impacting European ATM performance. COCTA Workshop: Improving Performance in ATM – Innovative institutions, mechanisms and incentives. Frankfurt, Germany 27 Sep 2017

Performance measurement in a world of targets and trade-offs
Cook, A.J. and Gurtner, G. 2017. Performance measurement in a world of targets and trade-offs. EUROCONTROL Agency Research Team. University of Westminster, London 25 - 26 Apr 2017

Vista D4.1 - Initial Framework Definition
Delgado, L., Gurtner, G., Cook, A.J., Cristobal, S. and Martin, J. 2017. Vista D4.1 - Initial Framework Definition.

Vista D3.1 - Business and Regulatory Scenarios Report
Delgado, L., Gurtner, G., Cook, A.J., Plets, H., Huet, D., Perez, D., Cristobal, S., Triska, A, Patey, S. and Andresson, E. I. 2017. Vista D3.1 - Business and Regulatory Scenarios Report.

Statistical characterization of deviations from planned flight trajectories in air traffic management
Bongiorno, C., Gurtner, G., Lillo, F., Mantegna, R.N. and Miccichè, S. 2017. Statistical characterization of deviations from planned flight trajectories in air traffic management. Journal of Air Transport Management. 58, pp. 152-163.

Study on the Modelling of Airport Economic Value
Gurtner, G., Cook, A.J., Graham, A. and Cristobal, S. 2016. Study on the Modelling of Airport Economic Value. Eurocontrol.

DATASET2050 D4.2 - Future supply profile
Tanner, G., Cook, A.J., Gurtner, G., Graham, A., Delgado, L., Cristobal, S., Ureta, H., Paul, A., Kluge, U., Mennig, P. and Hullah, P. 2016. DATASET2050 D4.2 - Future supply profile.

The economic value of adding capacity at airports – a data-driven model
Gurtner, G., Cook, A.J., Graham, A., Cristobal, S. and Huet, D. 2016. The economic value of adding capacity at airports – a data-driven model. Schaefer, D. (ed.) Sixth SESAR Innovation Days. Delft, Netherlands 08 - 10 Nov 2016 SESAR.

Applying complexity science to air traffic management
Cook, A.J., Blom, H., Lillo, F., Mantegna, R., Miccichè, S., S, Rivas, D., Vázquez, R., Zanin, M. and Mantegnad, R. 2015. Applying complexity science to air traffic management. Journal of Air Transport Management. 42, pp. 149-158.

Permalink - https://westminsterresearch.westminster.ac.uk/item/9yz6x/an-empirically-grounded-agent-based-simulator-for-air-traffic-management-in-the-sesar-scenario


Share this
Tweet
Email