Analysis of the influence of warning sounds in expressway tunnels on the mental state and attention of the driver
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Chongqing Jiaotong University, School of Civil Engineering, Chongqing Rail Transit (Group) Co., Ltd, Xuefu Avenue 66, Nanan District, Chongqing, China
 
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Chongqing Jiaotong University, School of Civil Engineering, State Key Laboratory of Mountain Bridge and Tunnel Engineering, Xuefu Avenue 66, Nanan District, Chongqing, China
 
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Chongqing Industrial School, Hualongqiong, Yuzhong District, Chongqing, China
 
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Chongqing Jiaotong University, School of Civil Engineering, Xuefu Avenue 66, Nanan District, Chongqing, China
 
 
Submission date: 2022-11-18
 
 
Final revision date: 2023-03-21
 
 
Acceptance date: 2023-03-28
 
 
Publication date: 2023-06-30
 
 
Archives of Civil Engineering 2023;2(2):623-636
 
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ABSTRACT
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 usingMATLAB. 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.
eISSN:2300-3103
ISSN:1230-2945
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