AI-driven Real-Time Free Bay Detection in Four-Wheeler Parking: A Conceptual-Exploratory Analysis
1. Dr. Anup M. Mule
Associate Professor,
Faculty of Commerce & Management, SGU, Atigre.
2. Mr. Sagar M. Kurane
Assistant Professor,
Faculty of Commerce & Management, SGU, Atigre
3. Ms. Poonam T. Doke
PG Management student, Faculty of Commerce & Management, SGU, Atigre
4. Ms. Vaishnavi S. Patil
PG Management student, Faculty of Commerce & Management, SGU Atigre
Abstract
This concept-exploratory research examines the possibility of an AI-based real-time free bay detection system in reducing parking woes at Sanjay Ghodawat University (SGU), Atigre. The main aims are to measure the existing problem faced by four-wheeler users and to determine the perceived usefulness and probable effect of a real-time smart parking system. Using a focused survey of university students and faculty, the research will gather primary data on present parking search durations, rate of difficulty, and willingness to fund such a technological solution. Results are anticipated to prove conceptual feasibility of the system described, presenting a compelling case for a follow-up, full-scale implementation study. This paper will add to the literature base on smart campus projects and sustainable transport options in schools.
Keywords: AI, Smart Parking, Real Time Detection, Free-Bay, Campus Transport, Smart Campus.
DOI link – https://doi.org/10.69758/GIMRJ/2509I9VXIIIP0055
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