Reducing stress on habitual journeys

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dc.contributor.author Corcoba Magaña, Víctor
dc.contributor.author Muñoz Organero, Mario
dc.date.accessioned 2018-02-02T08:22:59Z
dc.date.available 2018-02-02T08:22:59Z
dc.date.issued 2016-01-28
dc.identifier.bibliographicCitation The 5th IEEE International Conference on Consumer Electronics, Berlin, September 6-9, 2015: conference program and short abstracts. Berlin: IEEE, 2015 (Pp. 153-157)
dc.identifier.isbn 978-1-4799-8748-1
dc.identifier.uri http://hdl.handle.net/10016/25714
dc.description 2015 IEEE 5th International Conference on Consumer Electronics–Berlin (ICCE-Berlin), September 6-9, 2015
dc.description.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 the point of view of the stress level for each road section. When the driver completes a road section, the solution provides him or her with feedback. This feedback consists of recommendations such as: "You have driven too fast". The aim is that the driver adjusts speed when he or she repeats the trip. Optimization of the speed reduces stress and improves the driving from the point of view of energy saving. The optimal average speed is estimated using Particle Swarm Optimization (PSO) and MultiLayer Perceptron (MLP). The solution was deployed on Android mobile devices. The results show that the drivers drive smoother and reduce stress when they use the proposal.
dc.description.sponsorship 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
dc.format.extent 5
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2015 IEEE
dc.subject.other MLP
dc.subject.other MultiLayer perceptron
dc.subject.other Driving assistant
dc.subject.other Smart-driving
dc.subject.other Stress driver
dc.subject.other PSO
dc.subject.other Particle swarm optimization
dc.title Reducing stress on habitual journeys
dc.type conferenceObject
dc.type bookPart
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/ICCE-Berlin.2015.7391220
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2013-46801-C4-2-R
dc.relation.projectID info:eu-repo/grantAgreement/EC/PT-2012-1036-370000
dc.relation.projectID info:eu-repo/grantAgreement/EC/IPT-2012-0883- 430000
dc.relation.projectID info:eu-repo/grantAgreement/EC/IPT-2012-0882-430000
dc.type.version acceptedVersion
dc.relation.eventdate September 6-9, 2015
dc.relation.eventnumber 5
dc.relation.eventplace Berlin
dc.relation.eventtitle 2015 IEEE International Conference on Consumer Electronics-Berlin (ICCE-Berlin)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 153
dc.identifier.publicationlastpage 157
dc.identifier.publicationtitle The 5th IEEE International Conference on Consumer Electronics, Berlin, September 6-9, 2015: conference program and short abstracts
dc.identifier.uxxi CC/0000027268
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