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Road Risk-Index Analysis Using Satellite Products
This paper proposes a service called intelligent routing using satellite products (IRUS) that can be used in order to analyze risks to the road infrastructure during bad weather conditions, such as heavy rainfall, storms, or floods. By diminishing movement risk, rescuers can arrive safely at their d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007338/ https://www.ncbi.nlm.nih.gov/pubmed/36904961 http://dx.doi.org/10.3390/s23052751 |
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author | Firuți, Bogdan-Cristian Păduraru, Răzvan-Ștefan Negru, Cătălin Petrescu-Niţă, Alina Bădescu, Octavian Pop, Florin |
author_facet | Firuți, Bogdan-Cristian Păduraru, Răzvan-Ștefan Negru, Cătălin Petrescu-Niţă, Alina Bădescu, Octavian Pop, Florin |
author_sort | Firuți, Bogdan-Cristian |
collection | PubMed |
description | This paper proposes a service called intelligent routing using satellite products (IRUS) that can be used in order to analyze risks to the road infrastructure during bad weather conditions, such as heavy rainfall, storms, or floods. By diminishing movement risk, rescuers can arrive safely at their destination. To analyze these routes, the application uses both data provided by Sentinel satellites from the Copernicus program and meteorological data from local weather stations. Moreover, the application uses algorithms to determine the night driving time. From this analysis we obtain a risk index for each road provided by Google Maps API and then we present the path alongside the risk index in a friendly graphic interface. In order to obtain an accurate risk index, the application analyzes both recent and past data (up to 12 months). |
format | Online Article Text |
id | pubmed-10007338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100073382023-03-12 Road Risk-Index Analysis Using Satellite Products Firuți, Bogdan-Cristian Păduraru, Răzvan-Ștefan Negru, Cătălin Petrescu-Niţă, Alina Bădescu, Octavian Pop, Florin Sensors (Basel) Article This paper proposes a service called intelligent routing using satellite products (IRUS) that can be used in order to analyze risks to the road infrastructure during bad weather conditions, such as heavy rainfall, storms, or floods. By diminishing movement risk, rescuers can arrive safely at their destination. To analyze these routes, the application uses both data provided by Sentinel satellites from the Copernicus program and meteorological data from local weather stations. Moreover, the application uses algorithms to determine the night driving time. From this analysis we obtain a risk index for each road provided by Google Maps API and then we present the path alongside the risk index in a friendly graphic interface. In order to obtain an accurate risk index, the application analyzes both recent and past data (up to 12 months). MDPI 2023-03-02 /pmc/articles/PMC10007338/ /pubmed/36904961 http://dx.doi.org/10.3390/s23052751 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Firuți, Bogdan-Cristian Păduraru, Răzvan-Ștefan Negru, Cătălin Petrescu-Niţă, Alina Bădescu, Octavian Pop, Florin Road Risk-Index Analysis Using Satellite Products |
title | Road Risk-Index Analysis Using Satellite Products |
title_full | Road Risk-Index Analysis Using Satellite Products |
title_fullStr | Road Risk-Index Analysis Using Satellite Products |
title_full_unstemmed | Road Risk-Index Analysis Using Satellite Products |
title_short | Road Risk-Index Analysis Using Satellite Products |
title_sort | road risk-index analysis using satellite products |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007338/ https://www.ncbi.nlm.nih.gov/pubmed/36904961 http://dx.doi.org/10.3390/s23052751 |
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