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
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Publish Date: | 2023-03-23 |
Description: |
AbstractRapid 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. see all
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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. |
Copyright information: |
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