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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.
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Authors and Affiliations

Yao Xiao
1
ORCID: ORCID
Bo Liang
2
ORCID: ORCID
Tao Wang
3
ORCID: ORCID
Jiaan Niu
4
ORCID: ORCID
Shiyong He
2
ORCID: ORCID

  1. Chongqing Jiaotong University, School of Civil Engineering, Chongqing Rail Transit (Group) Co., Ltd, Xuefu Avenue 66, Nanan District, Chongqing, China
  2. Chongqing Jiaotong University, School of Civil Engineering, State Key Laboratory of Mountain Bridge and Tunnel Engineering, Xuefu Avenue 66, Nanan District, Chongqing, China
  3. Chongqing Industrial School, Hualongqiong, Yuzhong District, Chongqing, China
  4. Chongqing Jiaotong University, School of Civil Engineering, Xuefu Avenue 66, Nanan District, Chongqing, China
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Abstract

In this paper it is shown that M class PMU (Phasor Measurement Unit) reference model for phasor estimation recommended by the IEEE Standard C37.118.1 with the Amendment 1 is not compliant with the Standard. The reference filter preserves only the limits for TVE (total vector error), and exceeds FE (frequency error) and RFE (rate of frequency error) limits. As a remedy we propose new filters for phasor estimation for M class PMU that are fully compliant with the Standard requirements. The proposed filters are designed: 1) by the window method; 2) as flat-top windows; or as 3) optimal min-max filters. The results for all Standard compliance tests are presented, confirming good performance of the proposed filters. The proposed filters are fixed at the nominal frequency, i.e. frequency tracking and adaptive filter tuning are not required, therefore they are well suited for application in lowcost popular PMUs.
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Authors and Affiliations

Krzysztof Duda
Tomasz P. Zieliński

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