Joining worldwide efforts to understand the relationship between driving emotion and behavior, the current study aimed at examining the influence of emotions on driving intention transition. In Study 1, taking a car-following scene as an example, we designed the driving experiments to obtain the driving data in drivers’ natural states, and a driving intention prediction model was constructed based on the HMM. Then, we analyzed the probability distribution and transition probability of driving intentions. In Study 2, we designed a series of emotion-induction experiments for eight typical driving emotions, and the drivers with induced emotion participated in the driving experiments similar to Study 1. Then, we obtained the driving data of the drivers in eight typical emotional states, and the driving intention prediction models adapted to the driver’s different emotional states were constructed based on the HMM severally. Finally, we analyzed the probabilistic differences of driving intention in divers’ natural states and different emotional states, and the findings showed the changing law of driving intention probability distribution and transfer probability caused by emotion evolution. The findings of this study can promote the development of driving behavior prediction technology and an active safety early warning system.

中文翻译：

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驾驶员情绪演变导致驾驶意图转变的差异

这项全球性研究旨在了解驾驶情绪与行为之间的关系，在全球范围内，其目的是检验情绪对驾驶意图转变的影响。在研究1中，以跟车场景为例，我们设计了驾驶实验以获取驾驶员自然状态下的驾驶数据，并基于HMM构建了驾驶意图预测模型。然后，我们分析了驾驶意图的概率分布和转变概率。在研究2中，我们针对8种典型的驾驶情绪设计了一系列情绪诱导实验，并且与研究1相似，诱发情绪的驾驶员参加了驾驶实验。然后，我们获得了在8种典型情绪状态下驾驶员的驾驶数据。 ，分别基于HMM构建了适合驾驶员不同情绪状态的驾驶意图预测模型。最后，我们分析了潜水员在自然状态和不同情绪状态下驾驶意向的概率差异，研究结果表明了情绪演变引起的驾驶意向概率分布和转移概率的变化规律。这项研究的结果可以促进驾驶行为预测技术和主动安全预警系统的发展。研究结果表明，情绪演变引起的驾驶意图概率分布和转移概率的变化规律。这项研究的结果可以促进驾驶行为预测技术和主动安全预警系统的发展。研究结果表明，情绪演变引起的驾驶意图概率分布和转移概率的变化规律。这项研究的结果可以促进驾驶行为预测技术和主动安全预警系统的发展。