Game theory-based traffic modeling for calibration of automated driving algorithms
dc.citation.epage | 106 | en_US |
dc.citation.spage | 89 | en_US |
dc.contributor.author | Yıldız, Yıldıray | en_US |
dc.contributor.author | Li, Nan | en_US |
dc.contributor.author | Zhang, M. | en_US |
dc.contributor.author | Kolmanovsky, I. | en_US |
dc.contributor.author | Girard, A. | en_US |
dc.contributor.editor | Waschl, H. | |
dc.contributor.editor | Kolmanovsky, I. | |
dc.contributor.editor | Willems, F. | |
dc.date.accessioned | 2019-04-19T10:14:20Z | |
dc.date.available | 2019-04-19T10:14:20Z | |
dc.date.issued | 2019 | en_US |
dc.department | Department of Mechanical Engineering | en_US |
dc.description | Chapter 5 | en_US |
dc.description.abstract | Automated 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.provenance | Submitted 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.provenance | Made 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: 2019 | en |
dc.identifier.doi | 10.1007/978-3-319-91569-2_5 | en_US |
dc.identifier.doi | 10.1007/978-3-319-91569-2 | en_US |
dc.identifier.eisbn | 9783319915692 | |
dc.identifier.isbn | 9783319915685 | |
dc.identifier.uri | http://hdl.handle.net/11693/50844 | |
dc.language.iso | English | en_US |
dc.publisher | Springer, Cham | en_US |
dc.relation.ispartof | Control strategies for advanced driver assistance systems and autonomous driving functions | en_US |
dc.relation.ispartofseries | Lecture Notes in control and Information Sciences, 476 | |
dc.relation.isversionof | https://doi.org/10.1007/978-3-319-91569-2_5 | en_US |
dc.relation.isversionof | https://doi.org/10.1007/978-3-319-91569-2 | en_US |
dc.title | Game theory-based traffic modeling for calibration of automated driving algorithms | en_US |
dc.type | Book Chapter | en_US |
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