Traffic flow modelling, control and simulation utilising artificial intelligence and modern control technologies
"An efficient traffic signal control system is an essential tool to keep smooth, safe traffic environment in most metropolitan cities. In this thesis, artificial intelligence techniques, namely fuzzy logic technologies and evolutionary algorithms were used to implement and optimise a real multi-approach intersection, and at the same time, the pedestrian crossings were also taken into account to increase the complication and difficulty of regulating traffic flow. The main goals of this research are to shorten waiting time for each vehicle and to avoid traffic congestion"-- Abstract.
History
Start Page
1End Page
64Number of Pages
64Location
Central Queensland UniversityPublisher
Central Queensland UniversityAdditional Rights
I hereby grant to Central Queensland University or its agents the right to archive and to make available my thesis or dissertation in whole or in part in the University libraries in all forms of media, now or hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of this thesis or dissertation.Open Access
- Yes
External Author Affiliations
Faculty of Business and Informatics;Era Eligible
- No
Supervisor
Associate Professor Russel J Stonier ; Dr Peter J Thomas ; Professor Qing-Long Han ; Dr Andrew ChiouThesis Type
- Doctoral Thesis
Thesis Format
- Traditional
