Driver’s Intention Identification With the Involvement of Emotional Factors in Two-Lane Roads

Abstract

Driver's emotion is a psychological reaction to environmental stimulus. Driver intention is an internal state of mind, which directs the actions in the next moment during driving. Emotions usually have a strong influence on behavioral intentions. Therefore, emotion is an important factor that should be considered, to accurately identify driver's intention. This study used the support vector machine (SVM) theory to develop a driver intention recognition model, with the involvement of driver's emotions. Various materials including visual materials, auditory materials, and olfactory materials, were used to induce driver's emotions. Real driving, virtual driving and computer simulation experiments were conducted to collect human-vehicleenvironment dynamic data in two-lane roads. The results present that the proposed model can achieve high accuracy and reliability in recognizing driver's intentions. Our findings of this study can be used to develop the personalized driving warning system and intelligent human-machine interaction in vehicles. This study would be of great theoretical significance for improving road traffic safety.

The Emergence Characteristics of Driver’s Intentions Influenced by Different Emotions

“…The interest-sensitive area is described as the area with the greatest impact on vehicle safety and driver attention. When the target vehicle was operated in the left lane, the interest-sensitive area was divided into front, right-front, right-rear, and rear sides [15][16][17]. The concept of "force" was borrowed to describe the effect of the magnitude and direction of the neighboring vehicles on the target vehicle [15,16].…”

“…When the target vehicle was operated in the left lane, the interest-sensitive area was divided into front, right-front, right-rear, and rear sides [15][16][17]. The concept of "force" was borrowed to describe the effect of the magnitude and direction of the neighboring vehicles on the target vehicle [15,16]. Six determinants were used for analysis in the interest-sensitive area, namely gender, driving experience, determination, propensity, and relative distances and relative speeds between target vehicle and surrounding vehicles [16][17][18][19].…”

“…The concept of "force" was borrowed to describe the effect of the magnitude and direction of the neighboring vehicles on the target vehicle [15,16]. Six determinants were used for analysis in the interest-sensitive area, namely gender, driving experience, determination, propensity, and relative distances and relative speeds between target vehicle and surrounding vehicles [16][17][18][19]. In addition, based on a group of "forces" on vehicles, the fuzzy logic method was used to abstractly represent the vehicle group relationship.…”

“…Ultimately, eight vehicle group situations were obtained, shown in Figure 2. The eight vehicle group situations are denoted as T1-T8, and the attraction and repulsion forces were denoted by "+" and "−", respectively [16].…”

“…Ultimately, eight vehicle group situations were obtained, shown in Figure 2. The eight vehicle group situations are denoted as T1-T8, and the attraction and repulsion forces were denoted by "+" and "−", respectively [16]. The concept of "force" was borrowed to describe the effect of the magnitude and direction of the neighboring vehicles on the target vehicle [15,16].…”