Beware when danger on the road has passed. The state of relief impairs a driver’s ability to avoid accidents

Doliński, Dariusz; Odachowska, Ewa

doi:10.1016/j.aap.2018.03.007

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…However, the emotion of pleasure led to the increase in driver's fixation time on visual materials in the VWMT, and the decrease in driver's visual identification accuracy in the MVIT. These results are consistent with Dolinski, D. et al's view that positive emotions are not necessarily positively related to safe driving [54].…”

Section: Comprehensive Analysis and Discussionsupporting

confidence: 92%

Driver’s Visual Attention Characteristics and Their Emotional Influencing Mechanism under Different Cognitive Tasks

Liu

Wang

Chen

et al. 2022

IJERPH

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The visual attention system is the gateway to the human information processing system, and emotion is an important part of the human perceptual system. In this paper, the driver’s visual attention characteristics and the influences of typical driving emotions on those were explored through analyzing driver’s fixation time and identification accuracy to different visual cognitive tasks during driving. The results showed that: the increasing complexity of the cognitive object led to the improvement of visual identification speed. The memory and recall process increased drivers’ fixation time to cognitive objects, and the recall accuracy decreased with the increase in time interval. The increase in the number of cognitive objects resulted in the driver improving the visual identification speed for the cognitive object at the end of the sequence consciously. The results also showed that: the visual cognitive efficiency was improved in the emotional states of anger and contempt, and was decreased in the emotional states of surprise, fear, anxiety, helplessness and pleasure, and the emotional state of relief had no significant effect on the visual cognitive efficiency. The findings reveal the driver’s visual information processing mechanism to a certain extent, which are of great significance to understand the inner micro-psychology of driver’s cognition.

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Section: Comprehensive Analysis and Discussionsupporting

confidence: 92%

Driver’s Visual Attention Characteristics and Their Emotional Influencing Mechanism under Different Cognitive Tasks

Liu

Wang

Chen

et al. 2022

IJERPH

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show abstract

“…This seemed to suggest that a driver made rational driving decisions in a relaxed emotional state. However, some researchers pointed out that relief increased driving risk by reducing driver’s awareness of risk [ 78 ]. Figure 18 b shows the change rates of the driving intention probability between the driver’s pleasure emotion state and the natural state.…”

Section: Discussionmentioning

confidence: 99%

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

Liu

Wang

2020

IJERPH

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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.

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“… The test driver should have experience in working with this type of machine, perform cycles as standard, without matching the driving style, in the defined range of stress and focus (an example of evaluation can be found in [13]).…”

Section: Guidelines For Testing Under Real Operating Conditions -Realmentioning

confidence: 99%

Test guidelines for evaluation real driving emission two-way vehicles

et al. 2019

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The article discusses the results of tests carried out under real operating conditions, based on which a custom test for road-rail vehicles was developed. The proposed test reflects the working conditions in which road-rail vehicles are used. The measurements were performed for a vehicle equipped with an internal combustion engine during five stages of operation. Measuring cycles included driving on a paved road, rolling on tracks and running on a track without load, with a load of 90 tons and with a load of 140 tons. The article compares the legislative guidelines with actual operation, thanks to which guidelines for the road-rail test for assessing the exhaust emission of harmful gases were developed. Based on the recorded data, a test proposal was described, taking into account the operating time share during the test, the average speed of travel and the duration of the test cycle. In addition, guidelines on the test procedure in the proposed test are discussed.

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Beware when danger on the road has passed. The state of relief impairs a driver’s ability to avoid accidents

Cited by 7 publications

References 27 publications

Driver’s Visual Attention Characteristics and Their Emotional Influencing Mechanism under Different Cognitive Tasks

Driver’s Visual Attention Characteristics and Their Emotional Influencing Mechanism under Different Cognitive Tasks

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

Test guidelines for evaluation real driving emission two-way vehicles

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