A Study on Users' Attitudes Towards Parking Lot Application: A Case Study of Taipei

To help drivers avoid wasting excessive time searching for parking spaces, this study will use open data on parking lots provided by the Taipei City government as a case study. By integrating artificial intelligence for deep learning of user preferences and combining it with map navigation functions, the app will recommend the most suitable parking lots to users. The application interface will be designed with a user-centered approach to enhance readability and reduce the user learning curve.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10826994
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on Users' Attitudes Towards Parking Lot Application: A Case Study of Taipei

Yih-Jiun Lee, Qiang Yang
Smart Parking Systems Research
article

A Study on Users' Attitudes Towards Parking Lot Application: A Case Study of Taipei

Yih-Jiun Lee, Qiang Yang
article en

Abstract

To help drivers avoid wasting excessive time searching for parking spaces, this study will use open data on parking lots provided by the Taipei City government as a case study. By integrating artificial intelligence for deep learning of user preferences and combining it with map navigation functions, the app will recommend the most suitable parking lots to users. The application interface will be designed with a user-centered approach to enhance readability and reduce the user learning curve.

Chinese Culture University (TW)
Sustainable cities and communities
Openalex Percentile: Top 72%
Smart Parking Systems Research
DOISourceOpenAlex
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A Study on Users' Attitudes Towards Parking Lot Application: A Case Study of Taipei — Yih-Jiun Lee, Qiang Yang · (2024) | TGRS Research Map | TGRS