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dc.contributor.authorMatute Peaspán, José Angel
dc.contributor.authorZubizarreta Pico, Asier ORCID
dc.contributor.authorDíaz Briceno, Sergio Enrique
dc.date.accessioned2021-12-15T09:27:01Z
dc.date.available2021-12-15T09:27:01Z
dc.date.issued2021-12
dc.identifier.citationIEEE Transactions on Intelligent Transportation Systems 22(12) : 7772-7781 (2021)es_ES
dc.identifier.issn1524-9050
dc.identifier.issn1558-0016
dc.identifier.urihttp://hdl.handle.net/10810/54486
dc.description.abstract[EN]The low-speed high automation (LSHA) is foreseen as a development path for new types of mobility, improving road safety and addressing transit problems in urban infrastructures. As these automation approaches are still in the development phase, methods to improve their design and validation are required. The use of vehicle simulation models allows reducing significantly the time deployment on real test tracks, which would not consider all the scenarios or complexity related to automated driving features. However, to ensure safety and accuracy while evaluating the proper operation of LSHA features, adequate validation methodologies are mandatory. In this study a two-step validation methodology is proposed: Firstly, an open-loop test set attempts to tune the required vehicle simulation models using experimental data considering also the dynamics of the actuation devices required for vehicle automation. Secondly, a closed-loop test strives to validate the selected automated driving functionality based on test plans, also improving the vehicle dynamics response. To illustrate the methodology, a study case is proposed using an automated Renault Twizy. In the first step, the brake pedal and steering wheel actuators' behavior is modeled, as well as its longitudinal dynamics and turning capacity. Then, in a second step, an LSHA functionality for Traffic Jam Assist based on a Model Predictive Control approach is evaluated and validated. Results demonstrate that the proposed methodology is capable not only to tune vehicle simulation models for automated driving development purposes but also to validate LSHA functionalities.es_ES
dc.description.sponsorshipThis work was supported by the Tecnalia Research & Innovation facilities from the Electronic Component Systems for European Leadership Joint Undertaking (AutoDrive Project) under Grant 737469. The Associate Editor for this article was L. Chen.es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/737469es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectautonomous vehicleses_ES
dc.subjectsystem validationes_ES
dc.subjectpredictive modelses_ES
dc.subjectmotion controles_ES
dc.titleA Vehicle Simulation Model and Automated Driving Features Validation for Low-Speed High Automation Applicationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis work is licensed under a Creative Commons License: Attribution 4.0 International (CC BY 4.0).es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9145864es_ES
dc.identifier.doi10.1109/TITS.2020.3008318
dc.contributor.funderEuropean Commission
dc.departamentoesIngeniería de sistemas y automáticaes_ES
dc.departamentoeuSistemen ingeniaritza eta automatikaes_ES


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This work is licensed under a Creative Commons License: Attribution 4.0 International (CC BY 4.0).
Except where otherwise noted, this item's license is described as This work is licensed under a Creative Commons License: Attribution 4.0 International (CC BY 4.0).