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Stream/Area:
-
Subject:
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Paper ID:
10.55041/IJSREM43653
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Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
A Vertical smart car parking system is an innovative solution designed to maximize parking space efficiency in urban areas where land availability is limited. It consists of multiple floors or levels, either above or below ground, to accommodate a large number of vehicles within a compact footprint. These parking structures can be manual, semi-automated, or fully automated, utilizing advanced mechanical and software systems to optimize vehicle storage and retrieval. Vertical car parking reduces traffic congestion, minimizes land usage, and enhances convenience for drivers by providing structured and organized parking solutions. With growing urbanization and increasing vehicle numbers, such systems play a crucial role in addressing parking challenges while promoting sustainable urban development A Vertical Smart Car Parking System (VSCPS) is an innovative solution to urban parking challenges, addressing space constraints and increasing vehicle density. The rapid urbanization and growing number of vehicles have led to severe parking shortages, necessitating efficient parking solutions. Traditional parking methods occupy large surface areas and contribute to traffic congestion. In contrast, VSCPS maximizes vertical space, offering a structured and automated approach to parking management. Various types of vertical parking systems exist, including automated, semi-automated, and conventional ramp-based designs. Automated parking systems (APS) utilize robotic mechanisms to transport vehicles to designated spots without human intervention, improving efficiency and minimizing errors. Studies highlight that APS significantly reduces land usage compared to conventional parking, making them ideal for high-density urban areas.
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Publication Date
4/3/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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