Differences in Driving Intention Transitions Caused by Driver’s Emotion Evolutions

Abstract

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.

The Moderating Effects of Emotions on the Relationship Between Self-Reported Individual Traits and Actual Risky Driving Behaviors

“… 40 For the eight typical driving emotions mentioned above, we proposed an experimental framework for driving emotion induction in our previous researches. 36 , 37 The emotion inductions in this experimental framework contained preliminary induction, in-depth induction, driving context assumption and emotional experience reminder. The induction methods used in the preliminary induction included emotional pictures induction (for anger, surprise, fear and anxiety), personalized recall (for helplessness, contempt and relief) and prizes induction (for pleasure).…”

“…In our previous studies, 36 , 37 we have determined the eight most common emotions in driving activities, ie, anger, surprise, fear, anxiety, helplessness, contempt, relief and pleasure. In this study, we mainly studied the effects of these eight emotions and self-reported individual traits on the actual risky driving behaviors.…”

Exploring Physiological Signal Responses to Traffic-Related Stress in Simulated Driving

“…Authors in [10] evaluate the effects of TOR phases by analyzing the driver's gaze, Heart Rate (HR), Galvanic Skin Response (GSR), and facial expression. In [11], a Hidden Markov Model (HMM), which uses speed and distance between vehicles, is employed to estimate a driver's behavior with specific induced emotions. A study that compares the car driver's stress in a simulated autonomous and manual driving scenario, using an SVM algorithm, was introduced in [12].…”

A Dynamic and Static Context-Aware Attention Network for Trajectory Prediction

“…On the one hand, the vehicle is subject to many constraints, such as road conditions and surrounding moving targets. On the other hand, affected by the driver's driving intention and style [1], the trajectory tends to be highly nonlinear over time. These challenges have caused the degradation of both traditional dynamic models and machine learning models Therefore, trajectory prediction methods based on deep learning have become a current research hotspot.…”