Smart parking system using parking space tracking module and GIS / Mohd Firdaus Abdul Rahman

Frustration of finding an available parking space is still a common issue in big cities, especially during weekend and peak hours. Although various of smart parking system has been introduced since 1970's, this issues seem still not solve. The aim of this research is to study the different type...

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Main Author: Abdul Rahman, Mohd Firdaus
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/64898/1/64898.pdf
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spelling my-uitm-ir.648982023-04-19T03:33:47Z Smart parking system using parking space tracking module and GIS / Mohd Firdaus Abdul Rahman 2017 Abdul Rahman, Mohd Firdaus Geographic information systems Parking. Automobile parking Frustration of finding an available parking space is still a common issue in big cities, especially during weekend and peak hours. Although various of smart parking system has been introduced since 1970's, this issues seem still not solve. The aim of this research is to study the different type of smart parking system and vehicle detection technologies that can be use in existing smart parking system. In order to help patrons on easy finding available parking space, this research will integrate the selected vehicle detection technologies into existing parking system. Herein, this research will use video image processing with interest point detection Scale Invariant Feature Transform (SIFT) as occupancy detection module and Geographic Information System (GIS). goNpark will be use to guide patron to find the available parking space easily and accurately. goNpark will provide real-time visualization of parking situation of patrons destination. 2017 Thesis https://ir.uitm.edu.my/id/eprint/64898/ https://ir.uitm.edu.my/id/eprint/64898/1/64898.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Hamidi, Saidatul Rahah
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Hamidi, Saidatul Rahah
topic Geographic information systems
Geographic information systems
spellingShingle Geographic information systems
Geographic information systems
Abdul Rahman, Mohd Firdaus
Smart parking system using parking space tracking module and GIS / Mohd Firdaus Abdul Rahman
description Frustration of finding an available parking space is still a common issue in big cities, especially during weekend and peak hours. Although various of smart parking system has been introduced since 1970's, this issues seem still not solve. The aim of this research is to study the different type of smart parking system and vehicle detection technologies that can be use in existing smart parking system. In order to help patrons on easy finding available parking space, this research will integrate the selected vehicle detection technologies into existing parking system. Herein, this research will use video image processing with interest point detection Scale Invariant Feature Transform (SIFT) as occupancy detection module and Geographic Information System (GIS). goNpark will be use to guide patron to find the available parking space easily and accurately. goNpark will provide real-time visualization of parking situation of patrons destination.
format Thesis
qualification_level Master's degree
author Abdul Rahman, Mohd Firdaus
author_facet Abdul Rahman, Mohd Firdaus
author_sort Abdul Rahman, Mohd Firdaus
title Smart parking system using parking space tracking module and GIS / Mohd Firdaus Abdul Rahman
title_short Smart parking system using parking space tracking module and GIS / Mohd Firdaus Abdul Rahman
title_full Smart parking system using parking space tracking module and GIS / Mohd Firdaus Abdul Rahman
title_fullStr Smart parking system using parking space tracking module and GIS / Mohd Firdaus Abdul Rahman
title_full_unstemmed Smart parking system using parking space tracking module and GIS / Mohd Firdaus Abdul Rahman
title_sort smart parking system using parking space tracking module and gis / mohd firdaus abdul rahman
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/64898/1/64898.pdf
_version_ 1783735524844896256