Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model

Road weather conditions such as ice, snow, or heavy rain can have a significant impact on driver safety. In this paper, we present an approach to continuously monitor the road conditions in real time by equipping a fleet of vehicles with sensors. Based on the observed conditions, a physical road wea...

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Detalles Bibliográficos
Autores principales: Bogaerts, Toon, Watelet, Sylvain, De Bruyne, Niko, Thoen, Chris, Coopman, Tom, Van den Bergh, Joris, Reyniers, Maarten, Seynaeve, Dirck, Casteels, Wim, Latré, Steven, Hellinckx, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002756/
https://www.ncbi.nlm.nih.gov/pubmed/35408346
http://dx.doi.org/10.3390/s22072732
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author Bogaerts, Toon
Watelet, Sylvain
De Bruyne, Niko
Thoen, Chris
Coopman, Tom
Van den Bergh, Joris
Reyniers, Maarten
Seynaeve, Dirck
Casteels, Wim
Latré, Steven
Hellinckx, Peter
author_facet Bogaerts, Toon
Watelet, Sylvain
De Bruyne, Niko
Thoen, Chris
Coopman, Tom
Van den Bergh, Joris
Reyniers, Maarten
Seynaeve, Dirck
Casteels, Wim
Latré, Steven
Hellinckx, Peter
author_sort Bogaerts, Toon
collection PubMed
description Road weather conditions such as ice, snow, or heavy rain can have a significant impact on driver safety. In this paper, we present an approach to continuously monitor the road conditions in real time by equipping a fleet of vehicles with sensors. Based on the observed conditions, a physical road weather model is used to forecast the conditions for the following hours. This can be used to deliver timely warnings to drivers about potentially dangerous road conditions. To optimally process the large data volumes, we show how artificial intelligence is used to (1) calibrate the sensor measurements and (2) to retrieve relevant weather information from camera images. The output of the road weather model is compared to forecasts at road weather station locations to validate the approach.
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spelling pubmed-90027562022-04-13 Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model Bogaerts, Toon Watelet, Sylvain De Bruyne, Niko Thoen, Chris Coopman, Tom Van den Bergh, Joris Reyniers, Maarten Seynaeve, Dirck Casteels, Wim Latré, Steven Hellinckx, Peter Sensors (Basel) Article Road weather conditions such as ice, snow, or heavy rain can have a significant impact on driver safety. In this paper, we present an approach to continuously monitor the road conditions in real time by equipping a fleet of vehicles with sensors. Based on the observed conditions, a physical road weather model is used to forecast the conditions for the following hours. This can be used to deliver timely warnings to drivers about potentially dangerous road conditions. To optimally process the large data volumes, we show how artificial intelligence is used to (1) calibrate the sensor measurements and (2) to retrieve relevant weather information from camera images. The output of the road weather model is compared to forecasts at road weather station locations to validate the approach. MDPI 2022-04-02 /pmc/articles/PMC9002756/ /pubmed/35408346 http://dx.doi.org/10.3390/s22072732 Text en © 2022 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
Bogaerts, Toon
Watelet, Sylvain
De Bruyne, Niko
Thoen, Chris
Coopman, Tom
Van den Bergh, Joris
Reyniers, Maarten
Seynaeve, Dirck
Casteels, Wim
Latré, Steven
Hellinckx, Peter
Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model
title Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model
title_full Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model
title_fullStr Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model
title_full_unstemmed Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model
title_short Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model
title_sort leveraging artificial intelligence and fleet sensor data towards a higher resolution road weather model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002756/
https://www.ncbi.nlm.nih.gov/pubmed/35408346
http://dx.doi.org/10.3390/s22072732
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