Control and optimization algorithms for air transportation systems
Name
Balakrishnan_Control and optimization.pdf
Size
4.96 MB
Format
Adobe PDF
Checksum (MD5)
bff623457086ff8ab8ea4ef17d06fb8a
Author(s)
Balakrishnan, Hamsa
Date Issued
April 2016
Journal
Annual Reviews in Control
Publisher
Elsevier BV
Citation
Balakrishnan, Hamsa. “Control and Optimization Algorithms for Air Transportation Systems.” Annual Reviews in Control 41 (2016): 39–46 © 2016 International Federation of Automatic Control
Version
Author's final manuscript
Abstract
Modern air transportation systems are complex cyber-physical networks that are critical to global travel and commerce. As the demand for air transport has grown, so have congestion, flight delays, and the resultant environmental impacts. With further growth in demand expected, we need new control techniques, and perhaps even redesign of some parts of the system, in order to prevent cascading delays and excessive pollution. In this survey, we consider examples of how we can develop control and optimization algorithms for air transportation systems that are grounded in real-world data, implement them, and test them in both simulations and in field trials. These algorithms help us address several challenges, including resource allocation with multiple stakeholders, robustness in the presence of operational uncertainties, and developing decision-support tools that account for human operators and their behavior. Keywords: Air transportation; Congestion control; Large-scale optimization; Data-driven modeling; Human decision processes
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.ARCONTROL.2016.04.019
