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Tytuł artykułu

Analysis of the influence of warning sounds in expressway tunnels on the mental state and attention of the driver

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Języki publikacji
EN
Abstrakty
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.
Rocznik
Strony
623--636
Opis fizyczny
Bibliogr. 29 poz., il., tab.
Twórcy
autor
  • Chongqing Jiaotong University, School of Civil Engineering, Chongqing Rail Transit (Group) Co., Chongqing, China
autor
  • Chongqing Jiaotong University, School of Civil Engineering, State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing, China
autor
  • Chongqing Industrial School, Chongqing, China
autor
  • Chongqing Jiaotong University, School of Civil Engineering, Chongqing, China
autor
  • Chongqing Jiaotong University, School of Civil Engineering, State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing, China
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5ddbb09b-8747-4504-b091-9a14907289e0
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