Smartpark AI: Development Of An Intelligent Parking Location And Navigation System

Author(s)	Amulya R, Gopal K
Country	India
Abstract	Urban drivers often circulate to find vacant parking, which increases congestion, fuel consumption, and stress. This study aimed to design SmartPark AI, a real-time parking location and navigation system with short-horizon availability forecasting and transparent recommendations. A modular architecture was implemented using spatio-temporal prediction, transfer learning, explainable artificial intelligence (XAI), and simulation-based stress testing. In semi-synthetic city-zone experiments, SmartPark AI achieved 85–90% prediction accuracy, maintained under 2 s response time, and reached an ≈88% successful recommendation rate with improved decision traceability.
Keywords	smart parking, intelligent transportation systems, spatio-temporal prediction, transfer learning, explainable AI
Published In	Volume 7, Issue 2, March-April 2026
Published On	2026-04-10

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