Creating predictive models for forecasting the accident rate in mountain roads using VANETs

Bordel, Borja (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis) ; Universidad Politécnica de Madrid, Spain) ; Alcaria, Ramón (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis) ; Universidad Politécnica de Madrid, Spain) ; Rizzo, Gianluca (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Jara, Antonio (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

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.


Keywords:
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Cham, Springer
Date:
2018-01
Cham
Springer
Pagination:
Pp. 319-329
Published in:
Proceedings of the International Conference on Information Technology & Systems (ICITS 2018)
Author of the book:
Rocha, Álvaro ; (ed.) ; DEI/FCT, Universidade de Coimbra, Portugal
Guarda, Teresa ; (ed.) ; Universidad Estatal Península de Santa Elena, La Libertad, Ecuador
DOI:
ISBN:
978-3-319-73449-1
Appears in Collection:

Note: The status of this file is: public


 Record created 2018-11-16, last modified 2019-03-26

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