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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60450

IoT Framework for Realtime Smart Parking Prediction and Control

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60450

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM60450

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

PU

Prachi Upasani

GK

Gauri Kulkarni

PK

Pooja Kulkarni

SN

Sanika Nimbalkar

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Abstract

This high growth in the number of vehicles has greatly exacerbated the problem of vehicle parking, especially at the commercial places and the huge shopping malls. Drivers tend to waste a lot of time in finding vacant slots and this increases fuel use, traffic jams and frustration to users. Parking systems that are conventional are usually not efficient because they use manual monitoring systems as well as paper ticketing. In this paper, plan to present a smart pjarking system using the Internet of Things (IoT) to monitor and manage the availability of parking. This will be a sensor-equipped system with an ESP32 microcontroller that will be utilized in the determination of the have the slots, and send them to a web-based application where an individual can view the real-time parking location. The proposed system will allegedly optimize the traffic flow, reduce the search time and make the search possible usage of the available space more convenient in general, which will result in the need to consume less fuel.

KEYWORDS

internet of things (IoT) Smart Parking ESP32 Slot Detection Real-Time Monitoring Traffic

Cite This Article

Prachi Upasani, Gauri Kulkarni, Pooja Kulkarni, Sanika Nimbalkar, "IoT Framework for Realtime Smart Parking Prediction and Control," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM60450

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Publication Date

4/18/2026

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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