University of Oulu

S. Nasim, M. Oussalah, T. Outila and J. Jutila, "Smart Parking System with PlacePod, LoRaWAn IoT sensors and Android app," 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), San Diego, CA, USA, 2022, pp. 278-284, doi: 10.1109/IRI54793.2022.00066

Smart Parking System with PlacePod, LoRaWAn IoT sensors and Android app

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Author: Nasim, Sofeem1; Oussalah, Mourad1; Outila, Tarja2;
Organizations: 1Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland
2Department of Architecture, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 5.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2023032333032
Language: English
Published: IEEE, 2022
Publish Date: 2023-03-23
Description:

Abstract

Rapid population growth, increased wealth and adaptation to new urban environment norms led to a significant increase in car traffic. This caused significant challenges associated with higher emissions, diminished road safety, and limited parking facilities. Smart parking solutions aim to contribute to this challenge. This paper describes a small-scale smart parking implementation at the University of Oulu parking site using IoT sensors and a mobile app to provide real-time parking information on parking availability. Testing has been conducted to demonstrate the feasibility and soundness of the developed implementation.

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ISBN: 978-1-6654-6603-5
ISBN Print: 978-1-6654-6604-2
Pages: 278 - 283
DOI: 10.1109/iri54793.2022.00066
OADOI: https://oadoi.org/10.1109/iri54793.2022.00066
Host publication: 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI)
Conference: IEEE International Conference on Information Reuse and Integration for Data Science
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
113 Computer and information sciences
211 Architecture
Subjects:
Funding: This work is supported by the ERDF IPaWa (2019-2022) project.
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