Open AccessPrediction of Driver’s Stop-Go Decision at Signalized Intersection Based on EEG
Author(s) -
Jiahao Zhou,
Xuedong Yan,
Ke Duan,
Yuting Zhang,
Jingsi Yang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/688/4/044036
Subject(s) - intersection (aeronautics) , computer science , electroencephalography , psychology , operations research , transport engineering , engineering , psychiatry
Red light running (RLR) results in a large number of collisions and injuries of motor vehicles in the world. One of the main causes of RLR crashes is that drivers are unable to make the right decisions at intersections. In recent years, researchers have studied the influence of drivers’ behavior on their stop-go decisions and used behavior to predict driver’s decision-making. However, few studies used EEG to predict drivers’ stop-go decisions. This study proposes a method based on BPNN to predict drivers’ stop-go decisions using EEG data and provides a new research direction for the study of drivers’ stop-go behavior.