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Design of an Estimator Using the Artificial Neural Network Technique to Characterise the Braking of a Motor Vehicle

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dc.affiliation.areaUC3M. Área de Ingeniería Mecánicaes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: MECATRAN: Mecánica Experimental, Cálculo y Transporteses
dc.contributor.authorGarrosa Solana, María
dc.contributor.authorOlmeda Santamaría, Ester
dc.contributor.authorDíaz López, Vicente
dc.contributor.authorMendoza Petit, María Fernanda
dc.date.accessioned2022-06-22T08:53:55Z
dc.date.available2022-06-22T08:53:55Z
dc.date.issued2022-02-19
dc.description.abstractAutomatic systems are increasingly being applied in the automotive industry to improve driv-ing safety and passenger comfort, reduce traffic, and increase energy efficiency. The objective of this work is focused on improving the automatic brake assistance systems of motor vehicles trying to imitate human behaviour, but correcting possible human errors such as distractions, lack of visibility or time reaction. The proposed system can optimise the intensity of the braking according to the available distance to carry out the manoeuvre and the vehicle speed to be as less aggressive as possible, thus giving priority to the comfort of the driver. A series of tests are car-ried out in this work with a vehicle instrumented with sensors that provide real-time infor-mation about the braking system. The data obtained experimentally during the dynamic tests are used to design an estimator using the Artificial Neural Network (ANN) technique. This in-formation makes it possible to characterise all braking situations based on the pressure of the brake circuit, the type of manoeuvre and the test speed. Thanks to this ANN it is possible to es-timate the requirements of the braking system in real driving situations and carry out the ma-noeuvres automatically. Experiments and simulations verified the proposed method for the es-timation of braking pressure in real deceleration scenarios.en
dc.format.extent30
dc.identifier.bibliographicCitationGarrosa, M., Olmeda, E., Díaz, V., & Mendoza-Petit, M. F. (2022). Design of an Estimator Using the Artificial Neural Network Technique to Characterise the Braking of a Motor Vehicle. Sensors, 22(4), 1644.en
dc.identifier.doi10.3390/s22041644
dc.identifier.issn1424-3210
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue4
dc.identifier.publicationlastpage30
dc.identifier.publicationtitleSensorsen
dc.identifier.publicationvolume22
dc.identifier.urihttps://hdl.handle.net/10016/35221
dc.identifier.uxxiAR/0000030777
dc.language.isoeng
dc.publisherMDPIen
dc.rights© 2021 by the authorsen
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaIngeniería Industriales
dc.subject.otherPressure sensoren
dc.subject.otherArtificial neural networken
dc.subject.otherTypes of brakingen
dc.subject.otherBrake pressure estimationen
dc.titleDesign of an Estimator Using the Artificial Neural Network Technique to Characterise the Braking of a Motor Vehicleen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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