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.
Authors
- Jing Leng
- Yu Guo
Institutions
- China Communications Construction Company (China) (CN)
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