Driving　behavior　studies　based　on　electroencephalography　(EEG)　have　mostly　investigated　the　relationship　between　various　risky　driving　behaviors　and　brain　activity,　while　only　a　few　studies　have　discussed　the　relationship　between　ordinary　driving　behavior　(drivers＇　behavior　in　normal　situations)　and　brain　activity.　To　bridge　the　gap,　we　conducted　a　driving　simulator　experiment　to　collect　data　on　ordinary　driving　behavior,　including　acceleration,　space　headway,　speed,　time　headway,　lane　deviation,　and　amplitude　of　steering　wheel　movements.　At　the　same　time,　the　amplitude,　log-transformed　power　(LTP),　and　power　spectral　density　of　EEG　were　extracted　as　EEG　features.　The　quantitative　relationships　between　ordinary　driving　behavior　features　and　EEG　features　were　investigated,　where　power　spectrum　analysis　was　performed　to　process　EEG　signals　and　Pearson　correlation　analysis　was　utilized　for　statistical　analysis.　The　results　indicated　that　ordinary　driving　behavior　relates　to　all　four　brain　regions,　especially　the　temporal,　occipital,　and　frontal　regions.　beta-LTP　was　found　to　be　most　relevant　to　ordinary　driving　behavior.　Furthermore,　acceleration,　speed,　and　space　headway　may　have　potential　correlation　with　EEG　features　(e.g.,　beta-LTP).　These　findings　improve　our　understanding　of　the　correlation　between　brain　activity　and　driving　behavior,　and　show　potential　for　application　in　transportation　safety,　such　as　advanced　driver　assistance　systems　design.