An optimization–simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty-Reference-Cited by-同舟云学术

An optimization–simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty

Published:2021-03 Issue: Volume:124 Page:102937
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Scala Paolo^ORCID,Mota Miguel Mujica,Wu Cheng-Lung,Delahaye Daniel

Funder

Aviation Academy and AMSIB faculty of the Amsterdam University of Applied Sciences

Dutch Benelux Simulation Society

EUROSIM

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference32 articles.

1. Discrete-Event System Simulation;Banks,2000

2. Scheduling aircraft landings: the static case;Beasley;Transp. Sci.,2000

3. Brunner, D.T., Cross, G., McGhee, C., Levis, J., Whitney, D., 1998. Toward increase use of simulation in transportation. In: Proceedings of the 1998 Winter Simulation Conference, pp. 1169–1176.

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