EEG Based Assessment of Pedestrian Perception of Automobile in Low Illumination Road

Abstract

Pedestrian involvement is a major subset of road crashes. It is estimated that pedestrian road crash is about 22% of all road traffic related deaths. Since pedestrians share road space and traffic, they are susceptible to the crashes especially where a large number of pedestrians are seen on roads. In this study, we have estimated the pedestrian’s response and time taken to estimate the correct recognition of the vehicle approaching them while crossing the road. EEG analysis has been performed to estimate cognitive response of pedestrians. Thirty volunteers participated in this study. Six scenarios were presented as were shown to the participants. Analysis was performed based on EEG acquired activity. It was observed that less beta activity (p > 0.0%) was estimated when participants were shown the video of “low beam car with active light source” and “high beam car with active light source”. This clearly indicates that active light source in addition to headlights of car make pedestrians less confused about the oncoming traffic. This helps them to cross especially in low illumination allies.