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Modeling vehicle behavior with neural dynamics
RISE - Research Institutes of Sweden, ICT, Viktoria.
RISE - Research Institutes of Sweden, ICT, Viktoria. Halmstad University, Sweden.ORCID iD: 0000-0002-1043-8773
RISE - Research Institutes of Sweden, ICT, Viktoria.
RISE - Research Institutes of Sweden, ICT, Viktoria.
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Modeling the interaction of vehicles during certain traffic situations is the starting point for creating autonomous driving. Data collected from field trials where test subjects drive through a single-vehicle intersection was used to create behavioral models. The present work describes two implementations of models based on the dynamical systems approach and compares similarities and differences between them. The proposed models are designed to closely replicate the behavior selection in the intersection crossing experiment.

Place, publisher, year, edition, pages
2017.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33101OAI: oai:DiVA.org:ri-33101DiVA, id: diva2:1174692
Conference
Future Active Safety Technology - Towards zero traffic accidents, FastZero2017, September 18-22, 2017, Nara, Japan
Available from: 2018-01-16 Created: 2018-01-16 Last updated: 2018-03-19Bibliographically approved

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Englund, Cristofer

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CiteExportLink to record
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