Car park adviser web application

As the urban environment in Singapore increases in density over the years, motorists now face the challenge of vehicle navigation. One aspect of navigation is finding suitable car parks. To address this challenge, users would need access to information about the car parks surrounding their des...

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Bibliographic Details
Main Author: Ng, Werner Wen Jie
Other Authors: Oh Hong Lye
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/156464
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1564642022-04-17T09:31:09Z Car park adviser web application Ng, Werner Wen Jie Oh Hong Lye School of Computer Science and Engineering hloh@ntu.edu.sg Engineering::Computer science and engineering::Software::Software engineering As the urban environment in Singapore increases in density over the years, motorists now face the challenge of vehicle navigation. One aspect of navigation is finding suitable car parks. To address this challenge, users would need access to information about the car parks surrounding their destination to make the most informed decision. Key criteria include the number of available lots, cost of parking at a car park, and car park ergonomics. This project aims to provide a web application, Carparkly, for users to conveniently find and navigate to car parks around their destination. Based on the user’s preferences and input, the web application will provide a list of recommended car parks, which includes additional information such as cost of parking, number of available lots, and distance from destination. It also possesses a community feature that allows users to provide anecdotal reviews and insights into specific car parks. This will allow users to make better decisions regarding parking at their next destination. A considerable amount of solutioning was utilized to optimize the user experience and provide quality information. The web application has a front-end and back-end component. The front end component is developed using the ReactJS library and framework. The back-end component is developed using the Flask Python micro web framework. Data for the web application is gathered via publicly available APIs and through web scraping of government websites. The project is deployed and maintained using Amazon Web Services (AWS) to provision and configure resources. This allows for the development of a web application that is reliable, maintainable, and available to users. This report provides details behind the problem and an in-depth explanation of the project’s implementation and evaluation of results. Bachelor of Engineering (Computer Science) 2022-04-17T09:31:09Z 2022-04-17T09:31:09Z 2022 Final Year Project (FYP) Ng, W. W. J. (2022). Car park adviser web application. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156464 https://hdl.handle.net/10356/156464 en SCSE21-0140 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 Engineering::Computer science and engineering::Software::Software engineering
spellingShingle Engineering::Computer science and engineering::Software::Software engineering
Ng, Werner Wen Jie
Car park adviser web application
description As the urban environment in Singapore increases in density over the years, motorists now face the challenge of vehicle navigation. One aspect of navigation is finding suitable car parks. To address this challenge, users would need access to information about the car parks surrounding their destination to make the most informed decision. Key criteria include the number of available lots, cost of parking at a car park, and car park ergonomics. This project aims to provide a web application, Carparkly, for users to conveniently find and navigate to car parks around their destination. Based on the user’s preferences and input, the web application will provide a list of recommended car parks, which includes additional information such as cost of parking, number of available lots, and distance from destination. It also possesses a community feature that allows users to provide anecdotal reviews and insights into specific car parks. This will allow users to make better decisions regarding parking at their next destination. A considerable amount of solutioning was utilized to optimize the user experience and provide quality information. The web application has a front-end and back-end component. The front end component is developed using the ReactJS library and framework. The back-end component is developed using the Flask Python micro web framework. Data for the web application is gathered via publicly available APIs and through web scraping of government websites. The project is deployed and maintained using Amazon Web Services (AWS) to provision and configure resources. This allows for the development of a web application that is reliable, maintainable, and available to users. This report provides details behind the problem and an in-depth explanation of the project’s implementation and evaluation of results.
author2 Oh Hong Lye
author_facet Oh Hong Lye
Ng, Werner Wen Jie
format Final Year Project
author Ng, Werner Wen Jie
author_sort Ng, Werner Wen Jie
title Car park adviser web application
title_short Car park adviser web application
title_full Car park adviser web application
title_fullStr Car park adviser web application
title_full_unstemmed Car park adviser web application
title_sort car park adviser web application
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/156464
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