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Computational intelligence-based traffic signal timing optimization

Araghi, Sahar , Computational intelligence-based traffic signal timing optimization, PhD thesis, Centre for Intelligent Systems Research, Deakin Univeristy.

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Title Computational intelligence-based traffic signal timing optimization
Author Araghi, Sahar
Institution Deakin Univeristy
School Centre for Intelligent Systems Research
Degree type Research doctorate
Degree name PhD
Thesis advisor Creighton, Douglas
Khosravi, Abbas
Johnstone, Michael
Keyword(s) traffic congestion
traffic flows
computational intelligence
traffic signal timing
Summary  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.
Language eng
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
Description of original xix, 130 pages : illustrations, tables, graphs (some coloured)
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082933

Document type: Thesis
Collections: Higher degree theses (full text)
Open Access Collection
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Created: Tue, 19 Apr 2016, 16:18:02 EST by Kate Percival

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.