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.

中文翻译：

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换道博弈论模型综述

驾驶员变道行为对基于车辆的交通系统的安全性和容量有重大影响。因此，对换道操纵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交互，与其他经典模型相比，它揭示了更真实的驾驶行为图像。然而，博弈论描述人类驾驶员变道策略的潜力目前被低估了。本文旨在回顾博弈论模型的最新发展，这些模型根据其不同的方法和特征进行分类。它们专为人类驾驶和自动驾驶汽车而设计，我们希望它们能在未来的 AV 行业中找到应用。