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Location-Based Smart Parking Slot Booking and Allocation Platform
Subject area: Science,Engineering and Technology · Area of research: Smart Parking & Location-Based Services
Abstract
Urban areas are experiencing a rapid increase in the number of vehicles, which has led to significant challenges in parking management. Drivers often spend considerable time searching for available parking spaces, resulting in traffic congestion, increased fuel consumption, and inefficient utilization of parking resources. At the same time, many privately owned parking spaces remain unused for extended periods. This imbalance between parking demand and parking space utilization highlights the need for an efficient and intelligent parking management system. This paper proposes a Location-Based Smart Parking Slot Booking and Allocation Platform, a web-based system that connects drivers who require parking spaces with property owners who have available parking slots. The platform enables drivers to search for nearby parking spaces based on location, view parking details such as price and availability, and reserve parking slots in advance through an online interface. Parking slot owners can register their spaces and manage availability through a dedicated owner dashboard, while administrators monitor system activities and manage platform operations. The system is implemented using a three-tier architecture consisting of a presentation layer, application layer, and database layer. The frontend is developed using React with Vite and Tailwind CSS, while the backend is implemented using Java and the Spring Boot framework to provide RESTful API services. MySQL is used as the relational database for storing user information, parking slot details, bookings, and transaction records. Secure authentication using JSON Web Tokens and role-based access control ensures safe system operation. Integration with the Razorpay payment gateway enables seamless online payment processing with webhook based confirmation. The proposed platform improves parking space utilization and significantly reduces the time drivers spend searching for parking, contributing to efficient urban parking management.
Keywords
Location-Based Services, Parking Slot Booking, Role-Based Access Control, Smart Parking System, Spring Boot, Urban Parking Management, Web-Based Platform.
References
[1] A. S. W. Karunarathna and U. Rathnayake, “Key factors in converting shopping mall car parks into smart parking facilities,” Facilities, vol. 44, no. 1–2, pp. 44–66, 2026.
[2] “Smart parking infrastructure and intelligent parking management for urban mobility,” Sustainable Cities and Society, Elsevier, 2026.
[3] “Smart parking systems and intelligent transportation applications for urban environments,” EBSCO, 2025.
[4] “IoT-enabled cloud integrated smart parking system with real-time monitoring and AI-based space optimization,” SAE International, 2026.
[5] “Advanced intelligent parking management system using smart technologies,” International Journal of Information Technology, Springer Nature, 2025.
[6] “Smart parking system architecture for modern smart city infrastructure,” Modern Scientific Engineering Studies Journal, 2025.
[7] “Intelligent smart parking solution for urban traffic optimization,” Results in Engineering, Elsevier, 2025.
[8] “Design and implementation of a smart parking system using web technologies,” Journal of Information Technology and Engineering, 2025.
[9] “Smart parking framework for intelligent transportation systems,” Proceedings of SCITEPRESS Conference, SCITEPRESS, 2025.
[10] “Cloud-based smart parking optimization using intelligent computing techniques,” Concurrency and Computation: Practice and Experience, Wiley, 2025.
[11] “Smart parking and sustainable urban mobility solutions,” Sustainability, MDPI, vol. 15, no. 17, 2023.
[12] “Smart parking system architecture and intelligent mobility solutions,” SoftwareX, Elsevier, 2025.
[13] Sharma, V., and Gupta, R. (2023). Web-based smart parking management system with real-time booking. International Journal of Information Technology, 15(4), 2101–2110.
[14] Patel, D., and Shah, M. (2025). AI-driven smart parking recommendation system for urban environments. Expert Systems with Applications, 235, 120456.
How to cite this paper
@article{1715490,
author = {Prabu A, M. Asan Nainar},
title = {Location-Based Smart Parking Slot Booking and Allocation Platform},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {2177-2185},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715490.pdf},
abstract = {Urban areas are experiencing a rapid increase in the number of vehicles, which has led to significant challenges in parking management. Drivers often spend considerable time searching for available parking spaces, resulting in traffic congestion, increased fuel consumption, and inefficient utilization of parking resources. At the same time, many privately owned parking spaces remain unused for extended periods. This imbalance between parking demand and parking space utilization highlights the need for an efficient and intelligent parking management system. This paper proposes a Location-Based Smart Parking Slot Booking and Allocation Platform, a web-based system that connects drivers who require parking spaces with property owners who have available parking slots. The platform enables drivers to search for nearby parking spaces based on location, view parking details such as price and availability, and reserve parking slots in advance through an online interface. Parking slot owners can register their spaces and manage availability through a dedicated owner dashboard, while administrators monitor system activities and manage platform operations. The system is implemented using a three-tier architecture consisting of a presentation layer, application layer, and database layer. The frontend is developed using React with Vite and Tailwind CSS, while the backend is implemented using Java and the Spring Boot framework to provide RESTful API services. MySQL is used as the relational database for storing user information, parking slot details, bookings, and transaction records. Secure authentication using JSON Web Tokens and role-based access control ensures safe system operation. Integration with the Razorpay payment gateway enables seamless online payment processing with webhook based confirmation. The proposed platform improves parking space utilization and significantly reduces the time drivers spend searching for parking, contributing to efficient urban parking management.},
keywords = {Location-Based Services, Parking Slot Booking, Role-Based Access Control, Smart Parking System, Spring Boot, Urban Parking Management, Web-Based Platform.},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715490}
}