Game theory-based traffic modeling for calibration of automated driving algorithms

dc.citation.epage106en_US
dc.citation.spage89en_US
dc.contributor.authorYıldız, Yıldırayen_US
dc.contributor.authorLi, Nanen_US
dc.contributor.authorZhang, M.en_US
dc.contributor.authorKolmanovsky, I.en_US
dc.contributor.authorGirard, A.en_US
dc.contributor.editorWaschl, H.
dc.contributor.editorKolmanovsky, I.
dc.contributor.editorWillems, F.
dc.date.accessioned2019-04-19T10:14:20Z
dc.date.available2019-04-19T10:14:20Z
dc.date.issued2019en_US
dc.departmentDepartment of Mechanical Engineeringen_US
dc.descriptionChapter 5en_US
dc.description.abstractAutomated driving functions need to be validated and calibrated so that a self-driving car can operate safely and efficiently in a traffic environment where interactions between it and other traffic participants constantly occur. In this paper, we describe a traffic simulator capable of representing vehicle interactions in traffic developed based on a game-theoretic traffic model. We demonstrate its functionality for parameter optimization in automated driving algorithms by designing a rule-based highway driving algorithm and calibrating the parameters using the traffic simulator.en_US
dc.description.provenanceSubmitted by Evrim Ergin (eergin@bilkent.edu.tr) on 2019-04-19T10:14:20Z No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5)en
dc.description.provenanceMade available in DSpace on 2019-04-19T10:14:20Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2019en
dc.identifier.doi10.1007/978-3-319-91569-2_5en_US
dc.identifier.doi10.1007/978-3-319-91569-2en_US
dc.identifier.eisbn9783319915692
dc.identifier.isbn9783319915685
dc.identifier.urihttp://hdl.handle.net/11693/50844
dc.language.isoEnglishen_US
dc.publisherSpringer, Chamen_US
dc.relation.ispartofControl strategies for advanced driver assistance systems and autonomous driving functionsen_US
dc.relation.ispartofseriesLecture Notes in control and Information Sciences, 476
dc.relation.isversionofhttps://doi.org/10.1007/978-3-319-91569-2_5en_US
dc.relation.isversionofhttps://doi.org/10.1007/978-3-319-91569-2en_US
dc.titleGame theory-based traffic modeling for calibration of automated driving algorithmsen_US
dc.typeBook Chapteren_US

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