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Optimal distributed fuzzy control strategy for aircraft routing and traffic flow management

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Optimal distributed fuzzy control strategy for aircraft routing and traffic flow management. / Baromand, S.; Nekouie, M. A.; Navaie, Keivan.

Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on . New York : IEEE, 2012. p. 123-131 13324324 (International Conference on Ultra Modern Telecommunications and Workshops).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Baromand, S, Nekouie, MA & Navaie, K 2012, Optimal distributed fuzzy control strategy for aircraft routing and traffic flow management. in Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on ., 13324324, International Conference on Ultra Modern Telecommunications and Workshops, IEEE, New York, pp. 123-131, 4th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), United Kingdom, 3/10/12. https://doi.org/10.1109/ICUMT.2012.6459651

APA

Baromand, S., Nekouie, M. A., & Navaie, K. (2012). Optimal distributed fuzzy control strategy for aircraft routing and traffic flow management. In Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on (pp. 123-131). [13324324] (International Conference on Ultra Modern Telecommunications and Workshops). New York: IEEE. https://doi.org/10.1109/ICUMT.2012.6459651

Vancouver

Baromand S, Nekouie MA, Navaie K. Optimal distributed fuzzy control strategy for aircraft routing and traffic flow management. In Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on . New York: IEEE. 2012. p. 123-131. 13324324. (International Conference on Ultra Modern Telecommunications and Workshops). https://doi.org/10.1109/ICUMT.2012.6459651

Author

Baromand, S. ; Nekouie, M. A. ; Navaie, Keivan. / Optimal distributed fuzzy control strategy for aircraft routing and traffic flow management. Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on . New York : IEEE, 2012. pp. 123-131 (International Conference on Ultra Modern Telecommunications and Workshops).

Bibtex

@inproceedings{9ff31d30d08d43cbbd038dfed1e6747f,
title = "Optimal distributed fuzzy control strategy for aircraft routing and traffic flow management",
abstract = "Route planning methods are usually utilized to find the optimum track for an aircraft from the starting to the ending point. For route planning the objective is to satisfy a set of restrict conditions in a certain planning space. In this paper we present a state space linear model of aircraft rout planning and try to generalize the route planning dynamics to node-based data networks. In our presented model the topology is represented by a directed graph, and the Jump Markov model is also proposed for probability change in traffic network topology. Based on the proposed model, we then propose a decentralized fuzzy approach for optimizing the route assignment in a trajectory based air traffic Management environment. Through using fuzzy decision rules in the proposed H-GO controller strategy, we then improve the network performance criteria and avoid traffic in the network. We have shown that the proposed method results in reducing the airspace congestion through efficient route assignment.",
keywords = "Route planning, node-based data networks, Markovian Jump linear systems, decentralized fuzzy controller, ALGORITHM, NETWORKS",
author = "S. Baromand and Nekouie, {M. A.} and Keivan Navaie",
year = "2012",
doi = "10.1109/ICUMT.2012.6459651",
language = "English",
isbn = "9781467320153",
series = "International Conference on Ultra Modern Telecommunications and Workshops",
publisher = "IEEE",
pages = "123--131",
booktitle = "Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on",

}

RIS

TY - GEN

T1 - Optimal distributed fuzzy control strategy for aircraft routing and traffic flow management

AU - Baromand, S.

AU - Nekouie, M. A.

AU - Navaie, Keivan

PY - 2012

Y1 - 2012

N2 - Route planning methods are usually utilized to find the optimum track for an aircraft from the starting to the ending point. For route planning the objective is to satisfy a set of restrict conditions in a certain planning space. In this paper we present a state space linear model of aircraft rout planning and try to generalize the route planning dynamics to node-based data networks. In our presented model the topology is represented by a directed graph, and the Jump Markov model is also proposed for probability change in traffic network topology. Based on the proposed model, we then propose a decentralized fuzzy approach for optimizing the route assignment in a trajectory based air traffic Management environment. Through using fuzzy decision rules in the proposed H-GO controller strategy, we then improve the network performance criteria and avoid traffic in the network. We have shown that the proposed method results in reducing the airspace congestion through efficient route assignment.

AB - Route planning methods are usually utilized to find the optimum track for an aircraft from the starting to the ending point. For route planning the objective is to satisfy a set of restrict conditions in a certain planning space. In this paper we present a state space linear model of aircraft rout planning and try to generalize the route planning dynamics to node-based data networks. In our presented model the topology is represented by a directed graph, and the Jump Markov model is also proposed for probability change in traffic network topology. Based on the proposed model, we then propose a decentralized fuzzy approach for optimizing the route assignment in a trajectory based air traffic Management environment. Through using fuzzy decision rules in the proposed H-GO controller strategy, we then improve the network performance criteria and avoid traffic in the network. We have shown that the proposed method results in reducing the airspace congestion through efficient route assignment.

KW - Route planning

KW - node-based data networks

KW - Markovian Jump linear systems

KW - decentralized fuzzy controller

KW - ALGORITHM

KW - NETWORKS

U2 - 10.1109/ICUMT.2012.6459651

DO - 10.1109/ICUMT.2012.6459651

M3 - Conference contribution/Paper

SN - 9781467320153

SN - 9781467320160

T3 - International Conference on Ultra Modern Telecommunications and Workshops

SP - 123

EP - 131

BT - Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on

PB - IEEE

CY - New York

ER -