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.

驾驶员改变车道的行为对基于车辆的交通系统的安全性和容量具有重大影响。因此，对变道演习进行建模已成为驾驶行为分析的重要组成部分。在微观LC模型中，基于博弈论的换道模型突出了驾驶员的相互作用，与其他经典模型相比，该模型揭示了驾驶员行为的更为真实的图像。然而，目前博弈论潜在地描述了驾驶员变道策略的潜力。本文旨在回顾游戏理论模型的最新发展，该模型根据其不同的方法和功能进行分类。它们是为人类驾驶和自动驾驶汽车设计的，我们希望它们能在未来的视听行业中找到应用。