Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Alberto, Varela"'
Publikováno v:
Smart Cities, Vol 7, Iss 3, Pp 1441-1461 (2024)
Improving urban mobility, especially pedestrian mobility, is a current challenge in virtually every city worldwide. To calculate the least-cost paths and safer, more efficient routes, it is necessary to understand the geometry of streets and their va
Externí odkaz:
https://doaj.org/article/cde41df52505461ebc052812f9254ed9
Akademický článek
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Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 1, p 8 (2022)
Pedestrian travel represents one of the most complex forms of mobility owing to the numerous parameters that influence its analysis and the difficulty of acquiring accurate travel information. In addition, the vulnerability of its protagonists, espec
Externí odkaz:
https://doaj.org/article/32b11a3aca514141af457f35047515ab
Autor:
Alberto Varela-Feijoo, Alain Ponton
Publikováno v:
Rheologica Acta. 62:157-170
Autor:
David Fernández-Arango, Francisco-Alberto Varela-García, Diego González-Aguilera, Susana Lagüela-López
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1102 (2022)
The point clouds acquired with a mobile LiDAR scanner (MLS) have high density and accuracy, which allows one to identify different elements of the road in them, as can be found in many scientific references, especially in the last decade. This study
Externí odkaz:
https://doaj.org/article/27fe37c6ac2f4164a7519487559f57a9
Publikováno v:
Case Studies on Transport Policy. 10:1188-1206
Publikováno v:
ISPRS International Journal of Geo-Information; Volume 12; Issue 1; Pages: 8
[Abstract:] Pedestrian travel represents one of the most complex forms of mobility owing to the numerous parameters that influence its analysis and the difficulty of acquiring accurate travel information. In addition, the vulnerability of its protago
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a23c35431873d492086eab1661a5b7c8
https://hdl.handle.net/2183/32801
https://hdl.handle.net/2183/32801
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 5, p 226 (2019)
Naturalistic driving can generate huge datasets with great potential for research. However, to analyze the collected data in naturalistic driving trials is quite complex and difficult, especially if we consider that these studies are commonly conduct
Externí odkaz:
https://doaj.org/article/03fd5149b99a4ecabe66a6f763be6ec3
Publikováno v:
Sustainability; Volume 14; Issue 7; Pages: 4248
RUC. Repositorio da Universidade da Coruña
instname
RUC. Repositorio da Universidade da Coruña
instname
[Abstract] This study aimed to investigate the relationship between the characteristics of the areas of influence of bus stops and the decrease in ridership during COVID-19 lockdowns and subsequent initial reopening processes. A novel GIS methodology