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DrivingStyles: a smartphone application to assess driver behavior

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Meseguer Anastasio, JE.; Tavares De Araujo Cesariny Calafate, CM.; Cano Escribá, JC.; Manzoni, P. (2013). DrivingStyles: a smartphone application to assess driver behavior. IEEE. doi:10.1109/ISCC.2013.6755001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/67206

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Title: DrivingStyles: a smartphone application to assess driver behavior
UPV Unit: Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
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The DrivingStyles architecture integrates both data mining techniques and neural networks to generate a classification of driving styles by analyzing the driver behavior along each route. In particular, based on parameters ...[+]
Subjects: Driving styles , Android smartphone , OBD-II , Neural networks , Eco-driving
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-4799-3755-4
(issn: 1530-1346 )
DOI: 10.1109/ISCC.2013.6755001
Publisher version: http://dx.doi.org/10.1109/ISCC.2013.6755001
Conference name: 18th IEEE symposium on Computers and Communications (ISCC 2013)
Conference place: Split, Croatia
Conference date: July 7-10, 2013
Description: ©2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
This work has been sponsored by the Universitat Politécnica de Valencia through the ABATIS project (PAlD-05-12), and by the Ministry of Science and Innovation through the Walkie-Talkie project (TIN201 1-27543-C03).
Type: Comunicación en congreso

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