Memorias de investigación
Ponencias en congresos:
Creating predictive models for forecasting the accident rate in mountain roads using VANETs
Año:2018

Áreas de investigación
  • Ingenierías

Datos
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

Participantes
  • 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

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  • Departamento: Ingeniería de Sistemas Telemáticos
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