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Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19
Achieving community immunity against the coronavirus disease 2019 (COVID-19) depends on vaccinating the largest number of people within a specific period while taking all precautionary measures. To address this problem, this paper presents a smart parking system that will help the health crisis mana...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492456/ https://www.ncbi.nlm.nih.gov/pubmed/34777982 http://dx.doi.org/10.1007/s40747-021-00524-5 |
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author | Jemmali, Mahdi |
author_facet | Jemmali, Mahdi |
author_sort | Jemmali, Mahdi |
collection | PubMed |
description | Achieving community immunity against the coronavirus disease 2019 (COVID-19) depends on vaccinating the largest number of people within a specific period while taking all precautionary measures. To address this problem, this paper presents a smart parking system that will help the health crisis management committee to vaccinate the largest number of people with the minimum period of time while ensuring that all precautionary measures are followed, through a set of algorithms. These algorithms seek to ensure a uniform distribution of persons in parking. This paper proposes a novel complex system for smart parking and nine algorithms to address the NP-hard problem. The experimental results demonstrate the performance of the proposed algorithms in terms of gap and time. Applying these algorithms to smart cities to ensure precautionary measures against COVID-19 can help fight against this pandemic. |
format | Online Article Text |
id | pubmed-8492456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-84924562021-10-06 Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19 Jemmali, Mahdi Complex Intell Systems Original Article Achieving community immunity against the coronavirus disease 2019 (COVID-19) depends on vaccinating the largest number of people within a specific period while taking all precautionary measures. To address this problem, this paper presents a smart parking system that will help the health crisis management committee to vaccinate the largest number of people with the minimum period of time while ensuring that all precautionary measures are followed, through a set of algorithms. These algorithms seek to ensure a uniform distribution of persons in parking. This paper proposes a novel complex system for smart parking and nine algorithms to address the NP-hard problem. The experimental results demonstrate the performance of the proposed algorithms in terms of gap and time. Applying these algorithms to smart cities to ensure precautionary measures against COVID-19 can help fight against this pandemic. Springer International Publishing 2021-10-06 2022 /pmc/articles/PMC8492456/ /pubmed/34777982 http://dx.doi.org/10.1007/s40747-021-00524-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Jemmali, Mahdi Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19 |
title | Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19 |
title_full | Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19 |
title_fullStr | Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19 |
title_full_unstemmed | Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19 |
title_short | Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19 |
title_sort | intelligent algorithms and complex system for a smart parking for vaccine delivery center of covid-19 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492456/ https://www.ncbi.nlm.nih.gov/pubmed/34777982 http://dx.doi.org/10.1007/s40747-021-00524-5 |
work_keys_str_mv | AT jemmalimahdi intelligentalgorithmsandcomplexsystemforasmartparkingforvaccinedeliverycenterofcovid19 |