Next generation smart car park

As Singapore faces the dual challenge of limited land resources and a rising number of vehicles, innovative parking solutions are essential. This project addresses the problems which arise from increased car ownership and the government's push for a car-lite initiative, which aims to repu...

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Main Author: Goh, Garrick Chun Hou
Other Authors: Huang Shell Ying
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181655
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1816552024-12-11T23:44:10Z Next generation smart car park Goh, Garrick Chun Hou Huang Shell Ying College of Computing and Data Science ASSYHUANG@ntu.edu.sg Computer and Information Science As Singapore faces the dual challenge of limited land resources and a rising number of vehicles, innovative parking solutions are essential. This project addresses the problems which arise from increased car ownership and the government's push for a car-lite initiative, which aims to repurpose parking spaces for alternative uses. With a reduction in available parking space and a growing vehicle population, an efficient parking system has to be implemented, to make full use of the urban landscape around Singapore. This study proposes the design and implementation of an automated car parking system that maximizes land utilization. By adopting a single, optimized parking layout equipped with automated mechanisms, this system eliminates the need for walkways and ramps, allowing for a greater density of parking spaces within the same footprint. The project will focus on evaluating hardware performance and will utilize simulations to assess the system's efficiency and aid in mitigating the parking challenges faced in a densely populated urban environment. Bachelor's degree 2024-12-11T23:44:10Z 2024-12-11T23:44:10Z 2024 Final Year Project (FYP) Goh, G. C. H. (2024). Next generation smart car park. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/181655 https://hdl.handle.net/10356/181655 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
spellingShingle Computer and Information Science
Goh, Garrick Chun Hou
Next generation smart car park
description As Singapore faces the dual challenge of limited land resources and a rising number of vehicles, innovative parking solutions are essential. This project addresses the problems which arise from increased car ownership and the government's push for a car-lite initiative, which aims to repurpose parking spaces for alternative uses. With a reduction in available parking space and a growing vehicle population, an efficient parking system has to be implemented, to make full use of the urban landscape around Singapore. This study proposes the design and implementation of an automated car parking system that maximizes land utilization. By adopting a single, optimized parking layout equipped with automated mechanisms, this system eliminates the need for walkways and ramps, allowing for a greater density of parking spaces within the same footprint. The project will focus on evaluating hardware performance and will utilize simulations to assess the system's efficiency and aid in mitigating the parking challenges faced in a densely populated urban environment.
author2 Huang Shell Ying
author_facet Huang Shell Ying
Goh, Garrick Chun Hou
format Final Year Project
author Goh, Garrick Chun Hou
author_sort Goh, Garrick Chun Hou
title Next generation smart car park
title_short Next generation smart car park
title_full Next generation smart car park
title_fullStr Next generation smart car park
title_full_unstemmed Next generation smart car park
title_sort next generation smart car park
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/181655
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