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Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence
The purpose of this research was to develop a simple, cost-effective, but enough efficient solution for locating, tracking and distribution analysis of people and/or vehicle flowing, based on non-intrusive Bluetooth sensing and selective filtering algorithms employing artificial intelligence compone...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766857/ https://www.ncbi.nlm.nih.gov/pubmed/33419315 http://dx.doi.org/10.3390/s20247327 |
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author | Minea, Marius Dumitrescu, Cătălin Costea, Ilona Mădălina Chiva, Ionuț Cosmin Semenescu, Augustin |
author_facet | Minea, Marius Dumitrescu, Cătălin Costea, Ilona Mădălina Chiva, Ionuț Cosmin Semenescu, Augustin |
author_sort | Minea, Marius |
collection | PubMed |
description | The purpose of this research was to develop a simple, cost-effective, but enough efficient solution for locating, tracking and distribution analysis of people and/or vehicle flowing, based on non-intrusive Bluetooth sensing and selective filtering algorithms employing artificial intelligence components. The solution provides a tool for analyzing density of targets in a specific area, useful when checking contact proximities of a target along a route. The principle consists of the detection of mobile devices that use active Bluetooth connections, such as personal notebooks, smartphones, smartwatches, Bluetooth headphones, etc. to locate and track their movement in the dedicated area. For this purpose, a specific configuration of three BT sensors is used and RSSI levels compared, based on a combination of differential location estimates. The solution may also be suited for indoor localization where GPS signals are usually weak or missing; for example, in public places such as subway stations or trains, hospitals, airport terminals and so on. The applicability of this solution is estimated to be vast, ranging from travel and transport information services, route guidance, passenger flows tracking, and path recovery for persons suspected to have SARS-COV2 or other contagious viruses, serving epidemiologic enquiries. The specific configuration of Bluetooth detectors may be installed either in a fixed location, or in a public transport vehicle. A set of filters and algorithms for triangulation-based location of detected targets and movement tracking, based on artificial intelligence is employed. When applied in the public transport field, this setup can be also developed to extract additional information on traffic, such as private traffic flowing, or passenger movement patterns along the vehicle route, improved location in absence of GPS signals, etc. Field tests have been carried out for determining different aspects concerning indoor location accuracy, reliability, selection of targets and filtering. Results and possible applications are also presented in the final section of the paper. |
format | Online Article Text |
id | pubmed-7766857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77668572020-12-28 Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence Minea, Marius Dumitrescu, Cătălin Costea, Ilona Mădălina Chiva, Ionuț Cosmin Semenescu, Augustin Sensors (Basel) Article The purpose of this research was to develop a simple, cost-effective, but enough efficient solution for locating, tracking and distribution analysis of people and/or vehicle flowing, based on non-intrusive Bluetooth sensing and selective filtering algorithms employing artificial intelligence components. The solution provides a tool for analyzing density of targets in a specific area, useful when checking contact proximities of a target along a route. The principle consists of the detection of mobile devices that use active Bluetooth connections, such as personal notebooks, smartphones, smartwatches, Bluetooth headphones, etc. to locate and track their movement in the dedicated area. For this purpose, a specific configuration of three BT sensors is used and RSSI levels compared, based on a combination of differential location estimates. The solution may also be suited for indoor localization where GPS signals are usually weak or missing; for example, in public places such as subway stations or trains, hospitals, airport terminals and so on. The applicability of this solution is estimated to be vast, ranging from travel and transport information services, route guidance, passenger flows tracking, and path recovery for persons suspected to have SARS-COV2 or other contagious viruses, serving epidemiologic enquiries. The specific configuration of Bluetooth detectors may be installed either in a fixed location, or in a public transport vehicle. A set of filters and algorithms for triangulation-based location of detected targets and movement tracking, based on artificial intelligence is employed. When applied in the public transport field, this setup can be also developed to extract additional information on traffic, such as private traffic flowing, or passenger movement patterns along the vehicle route, improved location in absence of GPS signals, etc. Field tests have been carried out for determining different aspects concerning indoor location accuracy, reliability, selection of targets and filtering. Results and possible applications are also presented in the final section of the paper. MDPI 2020-12-20 /pmc/articles/PMC7766857/ /pubmed/33419315 http://dx.doi.org/10.3390/s20247327 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Minea, Marius Dumitrescu, Cătălin Costea, Ilona Mădălina Chiva, Ionuț Cosmin Semenescu, Augustin Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence |
title | Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence |
title_full | Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence |
title_fullStr | Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence |
title_full_unstemmed | Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence |
title_short | Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence |
title_sort | developing a solution for mobility and distribution analysis based on bluetooth and artificial intelligence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766857/ https://www.ncbi.nlm.nih.gov/pubmed/33419315 http://dx.doi.org/10.3390/s20247327 |
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