Reducing stress on habitual journeys

Corcoba Magaña, Víctor; Muñoz Organero, Mario

e-Archivo Home
→
Investigación
→
Departamentos
→
Departamento de Ingeniería Telemática
→
Grupo de Aplicaciones y Servicios Telemáticos (GAST)
→
DIT - GAST - Comunicaciones en Congresos
→
View Item

Reducing stress on habitual journeys

Author(s): Corcoba Magaña, Víctor; Muñoz Organero, Mario

Publisher: IEEE

Issued date: 2016-01-28

Citation: The 5th IEEE International Conference on Consumer Electronics, Berlin, September 6-9, 2015: conference program and short abstracts. Berlin: IEEE, 2015 (Pp. 153-157)

ISBN: 978-1-4799-8748-1

DOI: https://doi.org/10.1109/ICCE-Berlin.2015.7391220

Sponsor: The research leading to these results has received funding from the “HERMES-SMART DRIVER” project TIN2013-46801-C4-2-R within the Spanish "Plan Nacional de I+D+I" under the Spanish Ministerio de Economía y Competitividad and from the Spanish Ministerio de Economía y Competitividad funded projects (co-financed by the Fondo Europeo de Desarrollo Regional (FEDER)) IRENE (PT-2012-1036-370000), COMINN (IPT-2012-0883-430000) and REMEDISS (IPT-2012-0882-430000) within the INNPACTO program

Project: Gobierno de España. TIN2013-46801-C4-2-R
info:eu-repo/grantAgreement/EC/PT-2012-1036-370000
info:eu-repo/grantAgreement/EC/IPT-2012-0883- 430000
info:eu-repo/grantAgreement/EC/IPT-2012-0882-430000

Keywords: MLP , MultiLayer perceptron , Driving assistant , Smart-driving , Stress driver , PSO , Particle swarm optimization

URI: http://hdl.handle.net/10016/25714

Abstract:

Stress is the cause of a large number of traffic accidents. The driver increases driving mistakes when he or she is in this mental state. Furthermore, the fuel consumption gets worse. In this paper, we propose an algorithm to estimate the optimum speed from th [+]