Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/2117/132475

Título:	Measuring traffic lane-changing by converting video into space–time still images
Autor/a:	Sala Sanmartí, Marcel; Soriguera Martí, Francesc; Huillca, Kevin; Vilaplana Besler, Verónica
Otros autores:	Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental; Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. BIT - Barcelona Innovative Transportation; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
Abstract:	Empirical data is needed in order to extend our knowledge of traffic behavior. Video recordings are used to enrich typical data from loop detectors. In this context, data extraction from videos becomes a challenging task. Setting automatic video processing systems is costly, complex, and the accuracy achieved is usually not enough to improve traffic flow models. In contrast “visual” data extraction by watching the recordings requires extensive human intervention. A semiautomatic video processing methodology to count lane-changing in freeways is proposed. The method allows counting lane changes faster than with the visual procedure without falling into the complexities and errors of full automation. The method is based on converting the video into a set of space–time still images, from where to visually count. This methodology has been tested at several freeway locations near Barcelona (Spain) with good results. A user-friendly implementation of the method is available on http://bit.ly/2yUi08M.
Abstract:	Peer Reviewed
Materia(s):	-Àrees temàtiques de la UPC::Enginyeria civil::Infraestructures i modelització dels transports::Transport per carretera -Traffic flow--Measurement -Circulació -- Mesurament
Derechos:	Attribution 3.0 Spain http://creativecommons.org/licenses/by/3.0/es/
Tipo de documento:	Artículo - Versión publicada Artículo
Compartir:

Mostrar el registro completo del ítem