Observatorio de I+D+i UPM

Descripción
Monitoring the road network status of an entire country in a visual way (as traditionally) is very hard, so different mechanisms to do it in an automatic manner have been investigated. In particular, nomadic pervasive sensing platforms based on VANETs have been recently deployed. However, the level of road damage is a relative variable, and it is necessary to predict the particular impact of the same in each case, in order to prioritize the conditioning works. Therefore, in this paper a predictive model for forecasting the accident rate in mountain roads, considering the measures previously obtained through a nomadic sensing environment (and through the weather office) is defined. The model considers the type of road under study as well as different analysis scales to perform the calculations. The model is based on Taylor?s series and multivariate functions. Real data related to Valais (Switzerland) road network is employed to construct and validate the proposed model.
Internacional	Si
Nombre congreso	2018 International Conference on Information Technology & Systems
Tipo de participación	960
Lugar del congreso
Revisores	Si
ISBN o ISSN	978-3-319-73449-1
DOI
Fecha inicio congreso	08/01/2018
Fecha fin congreso	12/01/2018
Desde la página	1
Hasta la página	10
Título de las actas	Proceedings of 2018 International Conference on Information Technology & Systems

Esta actividad pertenece a memorias de investigación

• Autor: Borja Bordel Sanchez (UPM)
• Autor: Ramon Pablo Alcarria Garrido (UPM)
• Autor: Gianluca Rizzo (Institute of Information Systems. University of Applied Sciences Western Switzerland)
• Autor: Antonio Jara (Institute of Information Systems. University of Applied Sciences Western Switzerland)

• Creador: Grupo de Investigación: Grupo de Ingeniería de Redes y Servicios Avanzados de Telecomunicación
• Departamento: Ingeniería de Sistemas Telemáticos
• Departamento: Ingeniería Topográfica y Cartografía