Real-Time AI-Driven Solutions for Smart Parking Systems

Authors

  • Dr. Hassan Ali Professor of Information Technology, National University of Sciences and Technology (NUST), Pakistan Author

Keywords:

AI-Driven Solutions, Smart Parking Systems

Abstract

Smart parking systems have garnered great interest due to the growing urbanization and the necessity for efficient use of limited parking spaces. Traffic congestion and cruising for vacant parking spaces are major issues caused by inadequate parking facilities. Traditionally, parking has been managed and operated manually, leading to several drawbacks such as high operating costs and management difficulties, inefficiency due to lack of parking space information, increased risk of theft or damage to vehicles in underground parking facilities, and ineffective entry and exit management. The scenario change has been aided by technological advancements in various areas such as sensor technology, IoT, real-time artificial intelligence, and big data analysis, incorporating the software. AI applications, research, and subsequent advancements are addressed in the following discussions.

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References

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Published

09-11-2024

How to Cite

[1]
D. H. Ali, “Real-Time AI-Driven Solutions for Smart Parking Systems”, Distrib Learn Broad Appl Sci Res, vol. 10, pp. 494–506, Nov. 2024, Accessed: Nov. 23, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/184

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