Precise comprehension about the impacts of drivers’ rational and perceptual characteristics on their behavioral decisions is crucial for the accurate prediction of driving behavior. In the previous research on driving behavior, drivers were regarded as homogeneous and absolutely rational individuals. To overcome this limitation, the coupling effects of bounded rational cognition and diverse emotions are considered, and a driving behavior model is proposed based on Dynamics Psychology. There are two parts in this research. In Study 1, the information entropy theory is applied to describe the vehicle cluster situation, and a method is established to quantify the cognitive uncertainty of the vehicle cluster situation for drivers in diverse emotions. In Study 2, with consideration of bounded rational and emotional cognition, the impacts of the vehicle cluster situation and drivers' features, which are their demands for the driving goals including safety, efficiency and comfort, emotional states, and cognitive characteristics, on driving behavior are uniformly expressed as the behavioral driving force, and a prediction model for driving behavior is proposed based on Dynamics Psychology. The results of validation based on the virtual driving data show the prediction accuracy of the proposed model for various driving behaviors of drivers in diverse emotions is over 80%. The results of verification based on NGSIM data suggest that the prediction accuracy of the proposed model for the natural driving behaviors is 82.07%. The research results can contribute to the study on the intrinsic mechanism of driving behavior and provide theoretical support for the development of traffic simulation, personalized active safety systems, human–machine interaction, and brain-inspired autonomous driving.

准确理解驾驶员理性和感性特征对其行为决策的影响对于准确预测驾驶行为至关重要。在以往的驾驶行为研究中，驾驶员被视为同质且绝对理性的个体。为了克服这一局限性，考虑有限理性认知和多样化情感的耦合效应，提出一种基于动力学心理学的驾驶行为模型。这项研究有两个部分。研究一应用信息熵理论来描述车群态势，建立了一种量化不同情绪下驾驶员对车群态势认知不确定性的方法。研究二在考虑有限理性和感性认知的情况下，研究了车群状况和驾驶员特征（即安全性、效率性和舒适性等驾驶目标的需求）、情绪状态和认知特征对驾驶行为的影响统一表示为行为驱动力，提出基于动力学心理学的驾驶行为预测模型。基于虚拟驾驶数据的验证结果表明，该模型对驾驶员在不同情绪下的各种驾驶行为的预测准确率超过80%。基于NGSIM数据的验证结果表明，所提模型对自然驾驶行为的预测准确率为82.07%。研究成果有助于驾驶行为内在机制的研究，为交通仿真、个性化主动安全系统、人机交互、类脑自动驾驶等领域的发展提供理论支撑。