Finding an available parking space is acommon problem in crowded areas. Drivers oftenwaste time and fuel while searching for parkingspaces. This paper proposes a smart parkingapproach that combines the Internet of Things (IoT)and Machine Learning (ML) to improve parkingmanagement. IoT sensors are used to identifyoccupied and available parking slots, while a simpleMachine Learning model is proposed to predictparking availability and estimate waiting time. Theproposed approach also introduces automatic slotreallocation, in which a reserved parking slot can bereleased and assigned to another waiting user if theoriginal user does not arrive within the specified time.This approach aims to improve parking spaceutilization, reduce unnecessary waiting, and providea better parking experience. The effectiveness of theproposed approach can be evaluated in future work
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Dnyaneshwari Fargade (2026) studied this question.
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