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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...

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Autores principales: Minea, Marius, Dumitrescu, Cătălin, Costea, Ilona Mădălina, Chiva, Ionuț Cosmin, Semenescu, Augustin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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