A Review of Game Theory Models of Lane Changing

Ji Ang and David Levinson

No 2022-01, Working Papers from University of Minnesota: Nexus Research Group

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.

Keywords: lane-changing models; game theory; driver interaction; driver utility; autonomous vehicles (search for similar items in EconPapers)
JEL-codes: R41 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (9)

Published in Transportmetrica A. 16(3), 1628–1647.

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https://hdl.handle.net/2123/21348 First version, 2020 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:gametheorylanechanginglitreview

DOI: 10.1080/23249935.2020.1770368

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