Hierarchical fuzzy logic traffic control at a road junction using genetic algorithms
Data(s) |
1998
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Resumo |
Traffic control at a road junction by a complex fuzzy logic controller is investigated. The increase in the complexity of junction means more number of input variables must be taken into account, which will increase the number of fuzzy rules in the system. A hierarchical fuzzy logic controller is introduced to reduce the number of rules. Besides, the increase in the complexity of the controller makes formulation of the fuzzy rules difficult. A genetic algorithm based off-line leaning algorithm is employed to generate the fuzzy rules. The learning algorithm uses constant flow-rates as training sets. The system is tested by both constant and time-varying flow-rates. Simulation results show that the proposed controller produces lower average delay than a fixed-time controller does under various traffic conditions. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/38717/1/c38717.pdf DOI:10.1109/FUZZY.1998.686284 Heung, T.H. & Ho, Tin Kin (1998) Hierarchical fuzzy logic traffic control at a road junction using genetic algorithms. In 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), Anchorage, Alaska, pp. 1170-1175. |
Direitos |
Copyright 1998 IEEE Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Fonte |
Faculty of Built Environment and Engineering; School of Engineering Systems |
Palavras-Chave | #010206 Operations Research #080108 Neural Evolutionary and Fuzzy Computation #090507 Transport Engineering #Fuzzy logic control #Road junction #Genetic algorithms |
Tipo |
Conference Paper |