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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 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2017.
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-33101OAI: oai:DiVA.org:ri-33101DiVA, id: diva2:1174692
Konferanse
Future Active Safety Technology - Towards zero traffic accidents, FastZero2017, September 18-22, 2017, Nara, Japan
Tilgjengelig fra: 2018-01-16 Laget: 2018-01-16 Sist oppdatert: 2020-01-23bibliografisk kontrollert

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