Computational intelligence-based traffic signal timing optimization
Contribuinte(s) |
Creighton, Douglas Khosravi, Abbas Johnstone, Michael |
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Resumo |
Traffic congestion has explicit effects on productivity and efficiency, as well as side effects on environmental sustainability and health. Controlling traffic flows at intersections is recognized as a beneficial technique, to decrease daily travel times. This thesis applies computational intelligence to optimize traffic signals' timing and reduce urban traffic. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin Univeristy, Centre for Intelligent Systems Research |
Relação |
http://dro.deakin.edu.au/eserv/DU:30082933/araghi-agreement-2015.pdf http://dro.deakin.edu.au/eserv/DU:30082933/araghi-computationalintelligence-2015A.pdf |
Direitos |
The Author. All Rights Reserved |
Palavras-Chave | #traffic congestion #traffic flows #computational intelligence #traffic signal timing |
Tipo |
Thesis |
Data(s) |
31/12/1969
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