Changes of EEG signals in vehicle-pedestrian conflicting events with front collision warning on side-parking road

Yue Ma; Xuedong Yan

doi:10.1117/12.2627944

14 March 2022 Changes of EEG signals in vehicle-pedestrian conflicting events with front collision warning on side-parking road

Yue Ma, Xuedong Yan

Author Affiliations +

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121651A (2022) https://doi.org/10.1117/12.2627944
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

Abstract

Recently, the application of Front Collision Warning (FCW) on traffic safety has become an active research subject. In this study, electroencephalography (EEG) was used to measure drivers’ brain signals in vehicle-pedestrian conflicting events under FCW by conducting a driving simulation experiment to measure driving performance. Dividing the whole collisionavoidance process into three driving stages, we found that EEG signals in different driving stages have different effects on collision-avoidance performance, and proper releasing time of FCW could play an important role in reducing the risk of vehicle-pedestrian accidents by intervening in EEG signals during perception stage. With critical EEG features related to collision identified by logistic regression, EEG signals are validated to be reliable indicators of vehicle-pedestrian accidents.

Citation Download Citation

Yue Ma and Xuedong Yan "Changes of EEG signals in vehicle-pedestrian conflicting events with front collision warning on side-parking road", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121651A (14 March 2022); https://doi.org/10.1117/12.2627944

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