Improvement of Maneuverability Within a Multiagent Fuzzy Transportation System With the Use of Parallel Biobjective Real-Coded Genetic Algorithm

Over the past two decades, several simulation-based approaches have been developed to seek optimal solutions in complex multiagent systems (MASs). One example of these complex systems is the proposed multiagent fuzzy transportation system (FTS), in which agents, such as manned ground vehicles (MGVs)...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 23; H. 8; S. 12648 - 12664
Hauptverfasser:	Akopov, Andranik S., Beklaryan, Levon A., Thakur, Manoj
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Clustering Complex systems Complexity Fuzzy logic Fuzzy transportation systems Genetic algorithms improvement of maneuverability Land vehicles Maneuverability Multiagent systems multiobjective optimization Optimization Optimization models Parameters Roads Simulation Traffic accidents Traffic volume Transportation Transportation networks Transportation systems Turning Uncertainty Unmanned ground vehicles Vehicle dynamics
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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