Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
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
T2 - 4th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT)
Y2 - 3 October 2012 through 5 October 2012
ER -