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SmartParking: A Secure and Intelligent Parking System
Abstract
Parking is costly and limited in almost every major city in the world. Innovative parking systems for meeting near-term parking demand are needed. This paper proposes a novel, secure, and intelligent parking system (SmartParking) based on secured wireless network and sensor communication. From the point of users' view, SmartParking is a secure and intelligent parking service. The parking reservation is safe and privacy preserved. The parking navigation is convenient and efficient. The whole parking process will be a non-stop service. From the point of management's view, SmartParking is an intelligent parking system. The parking process can be modeled as birth-death stochastic process and the prediction of revenues can be made. Based on the prediction, new business promotion can be made, for example, on-sale prices and new parking fees. In SmartParking, new promotions can be published through wireless network. We address hardware/software architecture, implementations, and analytical models and results. The evaluation of this proposed system proves its efficiency.
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Cited by
Aspire: An agent-oriented smart parking recommendation system for smart cities
Rizvi, S. R., Zehra, S., & Olariu, S. (2019) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2018.2876569 · Cited by 82
Self-citation
Metadata
- Authors
- Yan, G., Yang, W., Rawat, D. B., & Olariu, S.
- Venue
- IEEE Intelligent Transportation Systems Magazine
- Published
- 2011
- Volume
- 3
- Issue
- 1
- Pages
- 18-30
- ISSN
- 1939-1390 (ISSN-L)
- OpenAlex
- W2049123222
- Cited by
- 197
- References
- 0
- FWCI
- 22.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: SmartParking: A Secure and Intelligent Parking System. https://app.cochat.ai/papers/10.1109/mits.2011.940473
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- Yan, G., Yang, W., Rawat, D. B., & Olariu, S. (2011). SmartParking: A Secure and Intelligent Parking System. IEEE Intelligent Transportation Systems Magazine. https://doi.org/10.1109/mits.2011.940473
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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