A Review of Game Theory Models of Lane Changing
Field | Value | Language |
dc.contributor.author | Ji, Ang | |
dc.contributor.author | Levinson, David M. | |
dc.date.accessioned | 2019-11-12 | |
dc.date.available | 2019-11-12 | |
dc.date.issued | 2019-11-12 | |
dc.identifier.uri | https://hdl.handle.net/2123/21348 | |
dc.description.abstract | Driver 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.iso | en_AU | en_AU |
dc.subject | lane-changing models | en_AU |
dc.subject | game theory | en_AU |
dc.subject | driver interaction | en_AU |
dc.subject | driver utility | en_AU |
dc.subject | autonomous vehicles | en_AU |
dc.title | A Review of Game Theory Models of Lane Changing | en_AU |
dc.type | Working Paper | en_AU |
dc.subject.asrc | FoR::090507 - Transport Engineering | en_AU |
dc.subject.asrc | FoR::140217 - Transport Economics | en_AU |
dc.type.pubtype | Pre-print | en_AU |
Associated file/s
Associated collections