AI-Powered Smart Parking Management: Optimizing Allocation and Safety

The rapid increase in urban vehicular traffic has created an urgent demand for efficient parking solutions. This paper proposes an intelligent parking system that integrates Artificial Intelligence (AI), Blockchain, and Internet of Things (IoT) technologies to address the challenges of urban parking. The system aims to enhance parking space utilization, ensure data security, and improve user experience through real-time data analysis, automated transactions, and privacy preservation. By leveraging machine learning techniques, vast amounts of parking data can be analyzed, and patterns can be predicted, enabling intelligent allocation and dynamic scheduling of parking spaces based on demand. A case study is presented to demonstrate the systems' effectiveness in a busy urban environment.

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Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1145/3697355.3697421
Citations
4
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
1.06
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article

AI-Powered Smart Parking Management: Optimizing Allocation and Safety

Jing Leng, Yu Guo
4 citations
Smart Parking Systems Research
1.06
article

AI-Powered Smart Parking Management: Optimizing Allocation and Safety

Jing Leng, Yu Guo
article en
4 citations

Abstract

The rapid increase in urban vehicular traffic has created an urgent demand for efficient parking solutions. This paper proposes an intelligent parking system that integrates Artificial Intelligence (AI), Blockchain, and Internet of Things (IoT) technologies to address the challenges of urban parking. The system aims to enhance parking space utilization, ensure data security, and improve user experience through real-time data analysis, automated transactions, and privacy preservation. By leveraging machine learning techniques, vast amounts of parking data can be analyzed, and patterns can be predicted, enabling intelligent allocation and dynamic scheduling of parking spaces based on demand. A case study is presented to demonstrate the systems' effectiveness in a busy urban environment.

China Communications Construction Company (China) (CN)
Openalex Percentile: Top 23%
Smart Parking Systems Research
1.06
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