The design of an intelligent parking system using wireless sensor networks and multi-protocol label switching

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dc.contributor.advisorBagula, Antoineen_ZA
dc.contributor.authorMwebaze, Anthonyen_ZA
dc.date.accessioned2015-10-28T05:41:04Z
dc.date.available2015-10-28T05:41:04Z
dc.date.issued2009en_ZA
dc.descriptionIncludes bibliographical references (leaves 55-57).en_ZA
dc.description.abstractThe challenge of parking management has increasingly posed the need for smart solutions. Motorists in today's busy world seek the best option in locating available parking points. The need for an efficient parking system stems from increased congestion, motor vehicle pollution, driver frustration and fatigue to mention but a few. This study was conducted at a time when the world was experiencing a financial crisis and more than ever motorists needed intelligent parking systems to reduce the cost of gas spent driving around to find parking. Indeed, the time spent driving around would be beneficial if used to do work that would put one at an advantage in the credit recession. The study was also conducted at a time when South Africa was preparing to host the 2010 soccer world cup. In the preparation to manage motor vehicle congestion, this study was a viable solution to manage the expected challenge of parking. This study presents the design and illustrates the performance of an intelligent parking system based on an integrated architecture where (1) Wireless Sensor networks (WSNs) using Small Programmable Object Technology (SPOT) motes are launched into parking places to monitor the activity of the parking area through light intensity sensing and (2) the sensed information is gathered and channeled through a gateway into databases used for parking space visualization and information dissemination over the World Wide Web technology and mobile devices via a Multi Protocol label Switching (MPLS) network. Using an illustrative simulation model of a small parking system built around a new generation of SUNspot motes, the study demonstrates how a real life smart parking iv system can be deployed to benefit motorists in today's busy World and serves as a foundation to future work on how this emerging generation of motes can be used to provide better ways of finding parking.en_ZA
dc.identifier.apacitationMwebaze, A. (2009). <i>The design of an intelligent parking system using wireless sensor networks and multi-protocol label switching</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/14411en_ZA
dc.identifier.chicagocitationMwebaze, Anthony. <i>"The design of an intelligent parking system using wireless sensor networks and multi-protocol label switching."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Computer Science, 2009. http://hdl.handle.net/11427/14411en_ZA
dc.identifier.citationMwebaze, A. 2009. The design of an intelligent parking system using wireless sensor networks and multi-protocol label switching. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Mwebaze, Anthony AB - The challenge of parking management has increasingly posed the need for smart solutions. Motorists in today's busy world seek the best option in locating available parking points. The need for an efficient parking system stems from increased congestion, motor vehicle pollution, driver frustration and fatigue to mention but a few. This study was conducted at a time when the world was experiencing a financial crisis and more than ever motorists needed intelligent parking systems to reduce the cost of gas spent driving around to find parking. Indeed, the time spent driving around would be beneficial if used to do work that would put one at an advantage in the credit recession. The study was also conducted at a time when South Africa was preparing to host the 2010 soccer world cup. In the preparation to manage motor vehicle congestion, this study was a viable solution to manage the expected challenge of parking. This study presents the design and illustrates the performance of an intelligent parking system based on an integrated architecture where (1) Wireless Sensor networks (WSNs) using Small Programmable Object Technology (SPOT) motes are launched into parking places to monitor the activity of the parking area through light intensity sensing and (2) the sensed information is gathered and channeled through a gateway into databases used for parking space visualization and information dissemination over the World Wide Web technology and mobile devices via a Multi Protocol label Switching (MPLS) network. Using an illustrative simulation model of a small parking system built around a new generation of SUNspot motes, the study demonstrates how a real life smart parking iv system can be deployed to benefit motorists in today's busy World and serves as a foundation to future work on how this emerging generation of motes can be used to provide better ways of finding parking. DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - The design of an intelligent parking system using wireless sensor networks and multi-protocol label switching TI - The design of an intelligent parking system using wireless sensor networks and multi-protocol label switching UR - http://hdl.handle.net/11427/14411 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/14411
dc.identifier.vancouvercitationMwebaze A. The design of an intelligent parking system using wireless sensor networks and multi-protocol label switching. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Computer Science, 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/14411en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Computer Scienceen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherComputer Scienceen_ZA
dc.titleThe design of an intelligent parking system using wireless sensor networks and multi-protocol label switchingen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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