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dc.contributor.authorJi, Ang
dc.contributor.authorLevinson, David M.
dc.date.accessioned2019-11-12
dc.date.available2019-11-12
dc.date.issued2019-11-12
dc.identifier.urihttps://hdl.handle.net/2123/21348
dc.description.abstractDriver lane-changing behaviours have a significant impact on the safety and the capacity of the vehicle-based traffic system. Therefore, modeling lane-changing maneuvers has become an essential component of driving behaviour analysis. Among microscopic LC models, game theory-based lane-changing models highlight the interaction of drivers, which reveal a more realistic image of driving behaviours compared to other classic models. However, the potential of game theory to describe the human driver’s lane-changing strategies is currently under-estimated. This paper aims to review the recent development of game-theoretic models that are classified according to their different methodologies and features. They are designed for both human-driven and autonomous vehicles, and we hope they can find applications in future AV industries.en_AU
dc.language.isoen_AUen_AU
dc.subjectlane-changing modelsen_AU
dc.subjectgame theoryen_AU
dc.subjectdriver interactionen_AU
dc.subjectdriver utilityen_AU
dc.subjectautonomous vehiclesen_AU
dc.titleA Review of Game Theory Models of Lane Changingen_AU
dc.typeWorking Paperen_AU
dc.subject.asrcFoR::090507 - Transport Engineeringen_AU
dc.subject.asrcFoR::140217 - Transport Economicsen_AU
dc.type.pubtypePre-printen_AU


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