Open AccessStudy on the Influence of Tunnel Environmental Noise on Driving Fatigue
Author(s) -
Yan Chen,
Yunhan Yang,
Xin Li
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/706/1/012015
Subject(s) - noise (video) , electroencephalography , engineering , acoustics , computer science , psychology , physics , artificial intelligence , psychiatry , image (mathematics)
Almost all tunnel traffic accident investigation point out that fatigue driving is one of the important causes of accidents. In the long tunnel driving process, due to the acoustic characteristics of the tunnel, drivers are in a high noise environment for a long time. By recording the electroencephalogram (EEG) of drivers under tunnel noise conditions, the EEG characteristics of driving fatigue are described by using specific EEG power spectrum, moreover, attention level is measured by spectrum of SMR. The correlation model between different noise and driver’s attention and fatigue degree is obtained, and the influence of tunnel noise on driving safety is analysed. The analysis results have great practical significance to improve the driving safety of drivers.