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EN
In recent years, some expressway tunnels have started broadcasting warning sounds, such as fire alarms, to improve driver attention and traffic safety. However, there is few research on it, and in contrast to previous studies, we have considered different evaluation indices and through field measurement to determine the effectiveness of this practice. The characteristics of three warning sound signals, i.e., fire alarm, dynamic music, and voice command, in a tunnel were analyzed using MATLAB. Considering pupil diameter and blink duration as evaluation indexes, the change in the mental state of the driver after hearing a warning sound was analyzed. Based on Markov chain theory, the change in the gaze region and gaze shift of the driver under the condition of a warning sound was analyzed. Results shows fire alarms and voice commands can increase the mental load of drivers, but the degree of impact was not determined. Dynamic music does not affect the mental load of the driver. The fire alarm and dynamic music attracted the attention of the driver; conversely, as the voice command warns the driver to focus on safety, it did not impact the attention of the driver. The research results provide a scientific reference for the selection of warning sounds in expressway tunnels and new research ideas for the prevention of traffic injuries in expressway tunnels.
2
Content available Stan emocjonalny studentów kierunków technicznych
PL
W artykule przedstawiono analizę eksperymentalną stanów emocjonalnych studentów kierunków technicznych (niepokój, agresywność, stabilność – niestabilność emocjonalna). Wyświetlono porównawcze wyniki badań stanów emocjonalnych studentów kierunków technicznych i humanistycznych. Analizowano dane stanów emocjonalnych studentów oraz ich korelację ze wskaźnikiem odporności na stres.
EN
The article presents the experimental analysis of the emotional states of the students of engineering-technical specialities (anxiety, aggressiveness, emotional stabilityinstability). The results of the investigation of the emotional states of engineeringtechnical and humanitarian specialities are demonstrated. The data of the emotional states of the students and their interconnection with the index of stress resistance are analyzed.
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