Citation

Wang F, Chen H, Zhu CH, Nan SR, Li Y. Sensors (Basel) 2019; 19(22): s19224982.

Affiliation

State Key Laboratory of Road Engineering Safety and Health in Cold and High-altitude Regions, China Communications Construction Company First Highway Consultants Co., LTD, Xi'an 710075, China.

Copyright

(Copyright © 2019, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s19224982

PMID

31731740

Abstract

Due to the influence of altitude change on a driver's heart rate, it is difficult to estimate driving fatigue using heart rate variability (HRV) at a road segment with frequent and rapid altitude change. Accordingly, a novel method of driving fatigue estimation for driving at plateau area with frequent altitude changes is proposed to provide active safety monitoring in real time. A naturalistic driving experiment at Qinghai-Tibet highway was conducted to collect drivers' electrocardiogram data and eye movement data. The results of the eye movement-based method were selected to enhance the HRV-based driving fatigue degree estimation method. A correction factor was proposed to correct the HRV-based method at the plateau area so that the estimation can be made via common portable devices. The correction factors for both upslope and downslope segments were estimated using the field experiment data. The results on the estimation of revised driving fatigue degree can describe the driver's fatigue status accurately for all the road segments at the plateau area with altitudes from 3540 to 4767 m. The results can provide theoretical references for the design of the devices of active safety prevention.

Language: en

Keywords

Qinghai-Tibet Plateau; blinking frequency; correction factor; driving fatigue; heart rate variability; rapid altitude change