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Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm

The increased mobility requirements of modern lifestyles put more stress on existing traffic infrastructure, which causes reduced traffic flow, especially in peak traffic hours. This calls for new and advanced solutions in traffic flow regulation and management. One approach towards optimisation is...

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Detalles Bibliográficos
Autores principales: Nimac, Peter, Krpič, Andrej, Batagelj, Boštjan, Gams, Andrej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915097/
https://www.ncbi.nlm.nih.gov/pubmed/35270899
http://dx.doi.org/10.3390/s22051754
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author Nimac, Peter
Krpič, Andrej
Batagelj, Boštjan
Gams, Andrej
author_facet Nimac, Peter
Krpič, Andrej
Batagelj, Boštjan
Gams, Andrej
author_sort Nimac, Peter
collection PubMed
description The increased mobility requirements of modern lifestyles put more stress on existing traffic infrastructure, which causes reduced traffic flow, especially in peak traffic hours. This calls for new and advanced solutions in traffic flow regulation and management. One approach towards optimisation is a transition from static to dynamic traffic light intervals, especially in spots where pedestrian crossing cause stops in road traffic flow. In this paper, we propose a smart pedestrian traffic light triggering mechanism that uses a Frequency-modulated continuous-wave (FMCW) radar for pedestrian detection. Compared to, for example, camera-surveillance systems, radars have advantages in the ability to reliably detect pedestrians in low-visibility conditions and in maintaining privacy. Objects within a radar’s detection range are represented in a point cloud structure, in which pedestrians form clusters where they lose all identifiable features. Pedestrian detection and tracking are completed with a group tracking (GTRACK) algorithm that we modified to run on an external processor and not integrated into the used FMCW radar itself. The proposed prototype has been tested in multiple scenarios, where we focused on removing the call button from a conventional pedestrian traffic light. The prototype responded correctly in practically all cases by triggering the change in traffic signalization only when pedestrians were standing in the pavement area directly in front of the zebra crossing.
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spelling pubmed-89150972022-03-12 Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm Nimac, Peter Krpič, Andrej Batagelj, Boštjan Gams, Andrej Sensors (Basel) Article The increased mobility requirements of modern lifestyles put more stress on existing traffic infrastructure, which causes reduced traffic flow, especially in peak traffic hours. This calls for new and advanced solutions in traffic flow regulation and management. One approach towards optimisation is a transition from static to dynamic traffic light intervals, especially in spots where pedestrian crossing cause stops in road traffic flow. In this paper, we propose a smart pedestrian traffic light triggering mechanism that uses a Frequency-modulated continuous-wave (FMCW) radar for pedestrian detection. Compared to, for example, camera-surveillance systems, radars have advantages in the ability to reliably detect pedestrians in low-visibility conditions and in maintaining privacy. Objects within a radar’s detection range are represented in a point cloud structure, in which pedestrians form clusters where they lose all identifiable features. Pedestrian detection and tracking are completed with a group tracking (GTRACK) algorithm that we modified to run on an external processor and not integrated into the used FMCW radar itself. The proposed prototype has been tested in multiple scenarios, where we focused on removing the call button from a conventional pedestrian traffic light. The prototype responded correctly in practically all cases by triggering the change in traffic signalization only when pedestrians were standing in the pavement area directly in front of the zebra crossing. MDPI 2022-02-23 /pmc/articles/PMC8915097/ /pubmed/35270899 http://dx.doi.org/10.3390/s22051754 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
Nimac, Peter
Krpič, Andrej
Batagelj, Boštjan
Gams, Andrej
Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm
title Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm
title_full Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm
title_fullStr Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm
title_full_unstemmed Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm
title_short Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm
title_sort pedestrian traffic light control with crosswalk fmcw radar and group tracking algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915097/
https://www.ncbi.nlm.nih.gov/pubmed/35270899
http://dx.doi.org/10.3390/s22051754
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