Scalable Parking Management Using Cloud Infrastructure and Devops

Parking management has become a critical issue in modern urban areas due to the increasing number of vehicles. Traditional parking methods rely heavily on manual intervention, leading to inefficiencies, congestion, and high operational costs. To address these challenges, this research proposes a cloud-based Parking Management System that integrates DevOps automation tools to ensure efficiency, scalability, and real-time monitoring. The system is developed using Flask, MySQL, HTML, CSS, and JavaScript and is hosted on AWS EC2 (Free Tier). It employs DevOps tools like Git, Jenkins, and Docker for automation and deployment. The proposed system allows users to check real-time slot availability, make bookings, and process payments online. It enhances parking efficiency by automating space allocation and reducing human intervention. By leveraging cloud infrastructure, this system ensures high availability and remote access. The CI/CD pipeline automates deployment and updates, improving reliability and reducing downtime.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-05
DOI
https://doi.org/10.22214/ijraset.2025.69962
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
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article

Scalable Parking Management Using Cloud Infrastructure and Devops

Kedar Pattansheetti
International Journal for Research in Applied Science and Engineering Technology
Smart Parking Systems Research
article

Scalable Parking Management Using Cloud Infrastructure and Devops

Kedar Pattansheetti
article en

Abstract

Parking management has become a critical issue in modern urban areas due to the increasing number of vehicles. Traditional parking methods rely heavily on manual intervention, leading to inefficiencies, congestion, and high operational costs. To address these challenges, this research proposes a cloud-based Parking Management System that integrates DevOps automation tools to ensure efficiency, scalability, and real-time monitoring. The system is developed using Flask, MySQL, HTML, CSS, and JavaScript and is hosted on AWS EC2 (Free Tier). It employs DevOps tools like Git, Jenkins, and Docker for automation and deployment. The proposed system allows users to check real-time slot availability, make bookings, and process payments online. It enhances parking efficiency by automating space allocation and reducing human intervention. By leveraging cloud infrastructure, this system ensures high availability and remote access. The CI/CD pipeline automates deployment and updates, improving reliability and reducing downtime.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 91%
Smart Parking Systems Research
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