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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM3383
Volume:
4 |
4 |
Apr 2020
Pages:
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.
The rapid growth of urbanization and vehicle population has created significant challenges in parking management. Traditional parking systems, which rely on manual monitoring and human intervention, are unable to handle the increasing demand efficiently. As a result, drivers spend considerable time searching for available parking slots, leading to traffic congestion, fuel wastage, and increased environmental pollution. The Smart Parking System is an intelligent solution designed to overcome these issues by integrating modern technologies such as IoT (Internet of Things), sensors, cloud computing, and mobile applications. A smart parking system enables real-time detection and monitoring of parking spaces. Sensors installed in each parking slot continuously collect data regarding slot occupancy, which is then transmitted to a central processing unit through wireless communication networks. The processed information is updated in a cloud database and displayed to users through mobile or web interfaces. This allows drivers to easily locate and reserve available parking slots, reducing search time and improving parking efficiency. The system contributes to the development of smart cities by providing efficient management of parking resources, reducing traffic congestion, and minimizing carbon emissions. Although the system offers several benefits, it also faces limitations such as high installation cost, dependency on internet connectivity, and maintenance requirements. Despite these challenges, smart parking systems have strong potential for future advancement through the use of artificial intelligence, edge computing, and smart city integration.
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Publication Date
5/2/2026
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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