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Quantitative Driver...
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Bärgman, JonasChalmers University of Technology, Sweden
(author)
Quantitative Driver Behavior Modelling forActive Safety Assessment Expansion (QUADRAE)
Publisher, publication year, extent ...
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Fordonsstrategisk Forskning och Innovation. FFI,2021
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29 s.
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:vti-18854
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https://urn.kb.se/resolve?urn=urn:nbn:se:vti:diva-18854URI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:vet swepub-contenttype
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Subject category:rap swepub-publicationtype
Notes
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In-vehicle technologies are essential for vehicle safety. This project, Quantitative Driver Behavior Modeling for Active Safety Assessment Expansion (QUADRAE), addresses two crucial components of the technology development process: driver models and simulation methodology. Together, they have provided the industrial partners with state-of-the-art tools for system development and testing, facilitating the development of innovative technologies to improve traffic safety. The main objectives of the project were to:develop and validate models of driver behavior needed in current and future simulation tools for virtual testing of active safety and automationcarry out prioritized virtual tests to estimate the safety benefit of a system, tune system parameters, and explore potential outcomes in scenarios when the system is activelearn more about the best methods for performing virtual testing using driver modelsAs a result of the project, the partners now have an established virtual simulation framework using Predictive Processing (PP) as a general paradigm for modeling driver behavior. The modeling, based on the latest knowledge and ideas about human behavior in driving, draws on extensive research using volunteer drivers as study participants. Data from both controlled experiments and naturalistic driving were used to develop and validate the models. These models are already being used by the industry partners as part of their virtual safety assessment toolchain, to develop advanced driver support systems. The data will continue to be used by the project partners in industry and academia to develop future driver models (which will, in turn, foster improved driver support systems).
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Bianchi Piccinini, GuilioChalmers University of Technology, Sweden
(author)
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Streubel, ThomasChalmers University of Technology, Sweden
(author)
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Augusto, Bruno,1986-Statens väg- och transportforskningsinstitut,Fordonssystem och körsimulering, FSK(Swepub:vti)bruno.augusto@vti.se
(author)
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Aderum, TobiasVeoneer
(author)
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Sander, UlrichVeoneer
(author)
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Karlsson, Ann-SofiAB Volvo, Sweden
(author)
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Sanfridson, MartinVolvo AB, Sweden
(author)
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Svärd, MalinVolvo Cars, Sweden
(author)
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Broberg, ThomasVolvo Cars, Sweden
(author)
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Chalmers University of Technology, SwedenFordonssystem och körsimulering, FSK
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Bärgman, Jonas
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Bianchi Piccinin ...
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Streubel, Thomas
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Augusto, Bruno, ...
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Aderum, Tobias
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Sander, Ulrich
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Karlsson, Ann-So ...
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Sanfridson, Mart ...
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Svärd, Malin
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Broberg, Thomas
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- About the subject
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Electrical Engin ...
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and Robotics
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- SOCIAL SCIENCES
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SOCIAL SCIENCES
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and Psychology
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and Applied Psycholo ...
- By the university
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VTI - The Swedish National Road and Transport Research Institute