Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road Visibility

[EN] This study presents a methodology to automatically assess visibility distance on secondary roads using mobile LiDAR systems. The method evaluates both braking and overtaking visibility distances based on the 3D geometry of the road, applying a dynamic analysis through a series of parametrised q...

Descripción completa

Detalles Bibliográficos
Autores: Guerrero Sevilla, Diego, González de Soto, Mariano, Pozo, Susana del, Martín Jiménez, José A., Rodríguez Gonzálvez, Pablo, González Aguilera, Diego
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/26154
Acceso en línea:https://www.mdpi.com/2072-4292/17/17/2948
https://hdl.handle.net/10612/26154
Access Level:acceso abierto
Palabra clave:Cartografía
Road maintenance
Road safety
Visibility distance
Mobile LiDAR system
Risk assessment
Software development
id ES_7164a8df0bf4e38f5049ba2686f07d22
oai_identifier_str oai:buleria.unileon.es:10612/26154
network_acronym_str ES
network_name_str España
repository_id_str
spelling Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road VisibilityGuerrero Sevilla, DiegoGonzález de Soto, MarianoPozo, Susana delMartín Jiménez, José A.Rodríguez Gonzálvez, PabloGonzález Aguilera, DiegoCartografíaRoad maintenanceRoad safetyVisibility distanceMobile LiDAR systemRisk assessmentSoftware development[EN] This study presents a methodology to automatically assess visibility distance on secondary roads using mobile LiDAR systems. The method evaluates both braking and overtaking visibility distances based on the 3D geometry of the road, applying a dynamic analysis through a series of parametrised quadrangular pyramids that simulate the driver’s field of view. Road segments are classified into three risk levels, low, medium, and high, according to the feasibility of stopping or overtaking safely. The methodology was validated on three secondary roads in Spain, achieving an average accuracy of 92.7% when compared to existing road signage. These results demonstrate the method’s potential to improve road safety through continuous, data-driven visibility monitoring. Its application supports advanced driver assistance systems and offers road authorities a reliable tool for proactive risk assessment and road infrastructure planning.SIMDPIIngeniería Cartografica, Geodesica y FotogrametriaEscuela Superior y Tecnica de Ingenieros de Minas2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://www.mdpi.com/2072-4292/17/17/2948https://hdl.handle.net/10612/26154reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónIngléshttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/261542026-06-24T12:43:27Z
dc.title.none.fl_str_mv Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road Visibility
title Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road Visibility
spellingShingle Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road Visibility
Guerrero Sevilla, Diego
Cartografía
Road maintenance
Road safety
Visibility distance
Mobile LiDAR system
Risk assessment
Software development
title_short Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road Visibility
title_full Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road Visibility
title_fullStr Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road Visibility
title_full_unstemmed Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road Visibility
title_sort Enhancing Overtaking Safety with Mobile LiDAR Systems: Dynamic Analysis of Road Visibility
dc.creator.none.fl_str_mv Guerrero Sevilla, Diego
González de Soto, Mariano
Pozo, Susana del
Martín Jiménez, José A.
Rodríguez Gonzálvez, Pablo
González Aguilera, Diego
author Guerrero Sevilla, Diego
author_facet Guerrero Sevilla, Diego
González de Soto, Mariano
Pozo, Susana del
Martín Jiménez, José A.
Rodríguez Gonzálvez, Pablo
González Aguilera, Diego
author_role author
author2 González de Soto, Mariano
Pozo, Susana del
Martín Jiménez, José A.
Rodríguez Gonzálvez, Pablo
González Aguilera, Diego
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ingeniería Cartografica, Geodesica y Fotogrametria
Escuela Superior y Tecnica de Ingenieros de Minas
dc.subject.none.fl_str_mv Cartografía
Road maintenance
Road safety
Visibility distance
Mobile LiDAR system
Risk assessment
Software development
topic Cartografía
Road maintenance
Road safety
Visibility distance
Mobile LiDAR system
Risk assessment
Software development
description [EN] This study presents a methodology to automatically assess visibility distance on secondary roads using mobile LiDAR systems. The method evaluates both braking and overtaking visibility distances based on the 3D geometry of the road, applying a dynamic analysis through a series of parametrised quadrangular pyramids that simulate the driver’s field of view. Road segments are classified into three risk levels, low, medium, and high, according to the feasibility of stopping or overtaking safely. The methodology was validated on three secondary roads in Spain, achieving an average accuracy of 92.7% when compared to existing road signage. These results demonstrate the method’s potential to improve road safety through continuous, data-driven visibility monitoring. Its application supports advanced driver assistance systems and offers road authorities a reliable tool for proactive risk assessment and road infrastructure planning.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.mdpi.com/2072-4292/17/17/2948
https://hdl.handle.net/10612/26154
url https://www.mdpi.com/2072-4292/17/17/2948
https://hdl.handle.net/10612/26154
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410649277202432
score 15,811543

Similares en LA Referencia