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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62769

PARKEASE: SMART PARKING SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62769

Volume:

10 |

5 |

May 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62769

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.

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Authors

EMJ

Elda Maria Joy

Computer Science & Engineering

Sree Narayana Gururkulam College of Engineering, Kochi, India

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AAP

Adithyalal A P

Computer Science & Engineering

Sree Narayana Gururkulam College of Engineering, Kochi, India

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ASP

Arya Santhosh P

Computer Science & Engineering

Sree Narayana Gururkulam College of Engineering, Kochi, India

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AS

Arathi S

Computer Science & Engineering

Sree Narayana Gururkulam College of Engineering, Kochi, India

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AG

Ansa George

Computer Science & Engineering

Sree Narayana Gururkulam College of Engineering, Kochi, India

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Abstract

Urban areas across Kerala are increasingly burdened by disorganized parking, resulting in driver frustration, wasted fuel, traffic congestion, and environmental pollution. This project proposes a Smart Parking System that operates entirely without GPS, making it ideal for indoor or multi-level parking structures such as shopping complexes, hospitals, or campuses. The system utilizes IR or ultrasonic sensors integrated with ESP32 microcontrollers to monitor the occupancy of each parking slot in real-time. The collected data is transmitted over Wi-Fi to a cloud-based dashboard. A mobile or web-based application allows users to check live availability, book slots in advance, and receive indoor navigation guidance to their allotted slot. Since GPS is not applicable indoors, the system employs visual maps in the app showing user's location and path to assigned slot Optional audio/visual directions in the app. The project also includes an admin dashboard to monitor occupancy, issue time alerts, and optimize space usage. Optional features like license plate recognition and automatic entry logging can enhance security and control. This Smart Parking System significantly reduces the time and stress involved in finding a parking space, helping minimize fuel usage, CO₂ emissions, and mental fatigue. It promotes urban order, social convenience, and psychological comfort, especially in densely populated regions. Designed to be modular, affordable, and scalable, this project demonstrates how IoT, automation, and real-time analytics can collectively solve real-world urban problems with direct environmental and societal impact.

KEYWORDS

Key Words: Smart parking system GPS IR sensors Ultrasonic sensors Cloud-based dashboard ESP32 microcontrollers Real-time monitoring IoT.

Cite This Article

Elda Maria Joy, Adithyalal A P, Arya Santhosh P, Arathi S, Ansa George, "PARKEASE: SMART PARKING SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-7, May 2026. https://doi.org/10.55041/IJSREM62769

Full Article/Conclusion

In simple terms, this smart parking system is designed to make parking less stressful and more convenient, especially in indoor or multi-level areas where GPS doesn’t really help. Instead of driving around aimlessly or struggling to find your reserved spot, the system guides you directly using BLE beacons and OLED displays, while also keeping you updated through a mobile app. At the same time, it helps administrators manage slots better and reduces unnecessary congestion and energy use. Beyond just saving time, it also improves the overall parking experience by ensuring reliability, safety, and smooth traffic flow inside parking facilities. By combining real-time monitoring, user-friendly navigation, and cloud integration, the system represents a step towards smarter and more sustainable urban infrastructure. More importantly, this solution is built with scalability and adaptability in mind. It can be easily expanded to handle larger parking spaces, integrated with payment gateways, or even connected to smart city platforms in the future. For users, it adds a sense of convenience and confidence while parking, while for administrators, it offers powerful tools for analytics, planning, and efficient resource utilization. With urban areas becoming more crowded and the demand for smarter infrastructure increasing, such a system is not just useful—it is necessary. Overall, the proposed smart parking system bridges the gap between technology and everyday life, making parking a simpler, faster, and more intelligent experience for everyone.

References

[1]   Javaheri, Atusa & Channamallu, Sai Sneha & Kermanshachi, Sharareh & Rosenberger, Jay & Pamidimukkala, Apurva & Kan, Chen & Hladik, Greg. (2024). Evaluating the Impact of Smart Parking Systems on Parking Violations. IEEE Access. PP. 10.1109/ACCESS.2024.3503513https://ieeexplore.ieee.org/docu ment/10758649/ [3] Pham, Thanh-Nam & Mai, Duc-Tho & Pham, Xuan-Kien. (2023). Smart Parking Services: An Overall Solution Based on Internet of Things and       Fog          Computing. IEEE       Access.   PP.          1-1. 10.1109/ACCESS.2023.3323861.https://ieeexplore.ieee.org/docu ment/10278430/ [4] Deepak Bhatnagar, Vaibhav Soni, Pragati Agrawal (2024) IoT-Enabled Smart Car Parking System with Route Navigation. IEEE Access    DOI:       10.1109/GIEST62955.2024.10959768 https://doi.org/10.48550/arXiv.2412.10774 [5]  Hanouf Albatati Shereen Meer, Farris Alharbi, Mashael Aljohani Reema Albehise (2025) Quick Park: Integrated Sensor-Based Smart Parking System with Chatbot for Enhanced Urban Mobility and Traffic Management. IEEE Access DOI: 10.1109/ICAISC64594.2025.10959575 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10959 575&isnumber=10959144 [6] Narinder Yadav, Sandeep Singh Kang, Rajneesh Verma, Varun Garg, Ishdeep Singla (2024) Enhancing Urban Mobility: A Smart Parking System Using IoT and Machine Learning. IEEE Access DOI:10.1109/ICACCTech65084.2024.00111 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10918 517&isnumber=10918301   [7]H. Canli, S. Toklu (2024) Learing-Based Mobile Application Design for Smart Parking. IEEE Access. DOI: 10.1109/ACCESS.2021.3074887 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=94105 36&isnumber=9312710 [8] Wesam Al Amiri Mohamed Baza, Karim Banawan, Mohamed Mahmoud, Waleed Alasmary, Kemal Akkaya (2020) Towards Secure Smart Parking System Using Blockchain Technology. IEEE  Access  DOI:  10.1109/CCNC46108.2020.9045674 https://doi.org/10.48550/arXiv.1904.09703   [9] Vaani Rajvanshi, Swasti Chaturvedi, Dinesh Yadav, Lokesh Sharma (2019) Smart parking system using sensors and cloud based network for smart cities applications. IEEE Access DOI: 10.1049/cp.2019.0202 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=91249 58&isnumber=9124929   [10] Paul Melnyk, Soufiene Djahel, Farid Nait-Abdesselam (2019) Towards a Smart Parking Management System for Smart Cities. IEEE   Access   DOI:   10.1109/ISC246665.2019.9071740 https://doi.org/10.1109/ISC246665.2019

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Publication Date

5/7/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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