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LoRa-Based Traffic Flow Detection for Smart-Road
This paper presents a wireless traffic flow detection system, mainly focused on conditions in which the traffic flow is slow or stopped, which increases the risk of highway accidents. To achieve this goal, a Low Power Wide Area Network (LPWAN) based on LoRa called Short LoRa has been developed. This...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825354/ https://www.ncbi.nlm.nih.gov/pubmed/33419026 http://dx.doi.org/10.3390/s21020338 |
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author | Asiain, David Antolín, Diego |
author_facet | Asiain, David Antolín, Diego |
author_sort | Asiain, David |
collection | PubMed |
description | This paper presents a wireless traffic flow detection system, mainly focused on conditions in which the traffic flow is slow or stopped, which increases the risk of highway accidents. To achieve this goal, a Low Power Wide Area Network (LPWAN) based on LoRa called Short LoRa has been developed. This LoRa sub-network complies with the European Telecommunications Standards Institute (ETSI) harmonized standard for its compatibility in Europe countries. In addition, the development of the devices has allowed them to also work on a LoRaWAN network. The introduced development has been compared to a reference system mounted with laser barriers that provided a high accurate comparison. Field tests of the system have been carried out and the data obtained in the measurement has been analyzed with two different methods, and both of them were valid for the application. The results can determine vehicle speed with adequate precision at low speeds. The attenuating behavior of the communication signal is also analyzed through the Radio Signal Strength Indicator (RSSI). The relationship between vehicle speed, gate distances and RSSI attenuation has been studied. The system is proven to have efficient results in detecting traffic flow under the conditions for which it has been developed. |
format | Online Article Text |
id | pubmed-7825354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78253542021-01-24 LoRa-Based Traffic Flow Detection for Smart-Road Asiain, David Antolín, Diego Sensors (Basel) Article This paper presents a wireless traffic flow detection system, mainly focused on conditions in which the traffic flow is slow or stopped, which increases the risk of highway accidents. To achieve this goal, a Low Power Wide Area Network (LPWAN) based on LoRa called Short LoRa has been developed. This LoRa sub-network complies with the European Telecommunications Standards Institute (ETSI) harmonized standard for its compatibility in Europe countries. In addition, the development of the devices has allowed them to also work on a LoRaWAN network. The introduced development has been compared to a reference system mounted with laser barriers that provided a high accurate comparison. Field tests of the system have been carried out and the data obtained in the measurement has been analyzed with two different methods, and both of them were valid for the application. The results can determine vehicle speed with adequate precision at low speeds. The attenuating behavior of the communication signal is also analyzed through the Radio Signal Strength Indicator (RSSI). The relationship between vehicle speed, gate distances and RSSI attenuation has been studied. The system is proven to have efficient results in detecting traffic flow under the conditions for which it has been developed. MDPI 2021-01-06 /pmc/articles/PMC7825354/ /pubmed/33419026 http://dx.doi.org/10.3390/s21020338 Text en © 2021 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 Asiain, David Antolín, Diego LoRa-Based Traffic Flow Detection for Smart-Road |
title | LoRa-Based Traffic Flow Detection for Smart-Road |
title_full | LoRa-Based Traffic Flow Detection for Smart-Road |
title_fullStr | LoRa-Based Traffic Flow Detection for Smart-Road |
title_full_unstemmed | LoRa-Based Traffic Flow Detection for Smart-Road |
title_short | LoRa-Based Traffic Flow Detection for Smart-Road |
title_sort | lora-based traffic flow detection for smart-road |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825354/ https://www.ncbi.nlm.nih.gov/pubmed/33419026 http://dx.doi.org/10.3390/s21020338 |
work_keys_str_mv | AT asiaindavid lorabasedtrafficflowdetectionforsmartroad AT antolindiego lorabasedtrafficflowdetectionforsmartroad |