@ARTICLE{Xiao_Yao_Analysis_2023,
 author={Xiao, Yao and Liang, Bo and Wang, Tao and Niu, Jiaan and He, Shiyong},
 volume={vol. 69},
 number={No 2},
 journal={Archives of Civil Engineering},
 pages={623-636},
 howpublished={online},
 year={2023},
 publisher={WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES},
 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.},
 type={Article},
 title={Analysis of the influence of warning sounds in expressway tunnels on the mental state and attention of the driver},
 URL={http://ochroma.man.poznan.pl/Content/127774/PDF/art40_int.pdf},
 doi={10.24425/ace.2023.145288},
 keywords={warning sound, expressway tunnel, mental states, visual characteristics},
}