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Journal Article

Citation

Zhang X, Zhao X, Du H, Rong J. Traffic Injury Prev. 2014; 15(8): 801-808.

Affiliation

Transportation Research Center of Beijing University of Technology , Beijing , P.R. China.

Copyright

(Copyright © 2014, Informa - Taylor and Francis Group)

DOI

10.1080/15389588.2014.881996

PMID

24433140

Abstract

OBJECTIVE: The purposes of this study were to analyze the effects of fatigue driving and drunk driving on drivers' physical characteristics; to analyze the differences in drivers' physical characteristics affected by different kinds of fatigue; and to compare the differences in the effects of the two driving states, fatigue driving and drunk driving. METHODS: 25 participants' physical characteristics were collected under five controlled situations: normal, tiredness driving, drowsiness driving, drowsiness+tiredness driving and drunk driving. In this paper, fatigue driving refers to tiredness and drowsiness, and includes three situations: tiredness driving, drowsiness driving and drowsiness+tiredness driving. The drivers' physical characteristics were measured in terms of nine parameters: systolic blood pressure (SBP), heart rate (HR), eyesight, dynamic visual acuity (DVA), time for dark adaption (TDA), reaction time to sound (RTS), reaction time to light (RTL), deviation of depth perception (DDP) and time deviation of speed anticipation (TDSA). They were analyzed using ANOVA with repeated measures. Binary logistical regression analysis was used to explain the relationship between drivers' physical characteristics and the two driving states. RESULTS: Most of the drivers' physical characteristic parameters were found to be significantly different under the influence of different situations. Four indicators are significantly affected by fatigue driving during deep fatigue (in decreasing order of influence): HR, RTL, SBP and RTS. HR and RTL are significant in the logistical regression model of the drowsiness+tiredness driving situation and normal situations. Six indicators of the drivers' physical characteristics are significantly affected by drunk driving (in decreasing order of influence): SBP, RTL, DDP, eyesight, RTS and TDSA. SBP and DDP have a significant effect in the logistical regression model of the drunk driving situation and the normal situation. CONCLUSIONS: Both fatigue driving and drunk driving are found to impair drivers' physical characteristics. However, their impacts on the parameters SBP, HR eyesight and TDSA are different. A driver's physical characteristics will be impaired more seriously when he continues driving while drowsy, compared to driving under normal situation. These findings contribute to the current research on identifying drivers' driving state and quantifying the effects of fatigue driving and drunk driving on driving ability and driving behavior.


Language: en

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