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 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.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uctcs/oai:techreports.cs.uct.ac.za:679 |
| Date | 01 June 2010 |
| Creators | Mwebaze, A. |
| Source Sets | South African National ETD Portal |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | pdf http://pubs.cs.uct.ac.za/archive/00000679/01/tony_Thesis_changes_graduation_june_2010Version2.pdf |
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