Citation

Ji A, Levinson D. Transportmetrica A: Transp. Sci. 2020; 16(3): 1628-1647.

Copyright

(Copyright © 2020, Informa - Taylor and Francis Group)

DOI

10.1080/23249935.2020.1770368

PMID

unavailable

Abstract

Driver lane-changing behaviors 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 behavior analysis. Among microscopic LC models, game theory-based lane-changing models highlight the interaction of drivers, which reveal a more realistic image of driving behaviors 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.

Language: en

Keywords

autonomous vehicle; game theory; driver interaction; driver payoff function; Lane-changing models