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Smart city article details
| Title | Intelligent Parking Systems Design Using Iot And Ai |
|---|---|
| ID_Doc | 32480 |
| Authors | Bante K.; Bawankule S.; Dhule C.; Agrawal R.; Kumbhare K. |
| Year | 2024 |
| Published | 2024 International Conference on Innovations and Challenges in Emerging Technologies, ICICET 2024 |
| DOI | http://dx.doi.org/10.1109/ICICET59348.2024.10616280 |
| Abstract | As urbanization accelerates globally, efficient management of parking spaces becomes paramount to alleviate congestion and enhance urban mobility. This study presents a state-of-the-art Smart Parking System (SPS) that makes use of the convergence of artificial intelligence (AI) and the Internet of Things (IoT). The suggested system seeks to maximize parking space use, reduce traffic jams, and improve user experience. By implementing smart sensors that reliably report parking availability, the Internet of Things infrastructure makes it possible to monitor parking spaces in real-time. These sensors connect easily to a centralized control system and are positioned thoughtfully throughout parking lots. The collected data is then processed using AI algorithms to predict parking space availability, considering historical usage patterns, special events, and dynamic factors influencing parking demand. Using machine learning techniques, the AI component of the system analyzes and predicts user behavior to provide individualized parking recommendations based on past preferences and restrictions of the present moment. As a result, the parking system operates more efficiently overall, people spend less time looking for parking, and the urban ecosystem becomes more ecologically friendly and sustainable. In addition, the Smart Parking System comes with an easy-to-use mobile application that lets drivers view parking information in real-time, get customized recommendations, and even reserve spots ahead of time. The application also facilitates seamless payment transactions, creating a hassle-free parking experience for users. The implementation of this IoT and AI-based Smart Parking System holds significant promise in transforming urban mobility, addressing traffic congestion, and promoting a sustainable and intelligent urban environment. The research presented herein includes a detailed analysis of system architecture, performance evaluations, and a discussion on the potential societal impacts of such an innovative parking solution. © 2024 IEEE. |
| Author Keywords | Artificial Intelligence (AI); Intelligent Decision-making; Internet of Things (IoT); Machine Learning; Parking Space Optimization; Real-time Monitoring; Smart City; Smart Parking System; Traffic Flow Optimization; Urban Mobility |
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