Intoxication and cognitive impairment are among the major contributors to traffic accidents and decreased traffic safety. The current pilot study focused on identifying and exploring behavioral and physiological markers of intoxication using a simulated driving environment. Eight participants were tested under two conditions: control (sober) and moderately intoxicated (0.05-0.10% BAC (blood alcohol concentration)). Participants engaged in a driving simulation while data was collected via EEG, eye-tracking, and driver behavior sensors (e.g., steering input). Results from our pilot study indicated that pupil diameters during critical driving events (e.g., turns, overtakes, and collision avoidance) were higher under control conditions compared to intoxicated conditions. Moreover, intoxication led to higher mean acceleration magnitude, greater variability in acceleration and speed, and a lower mean speed. The results also revealed distinct patterns of neural activity associated with alcohol intoxication, particularly in the Pre-Frontal brain region. This study aimed to lay the groundwork for developing algorithms for automating the detection of intoxication and assessing driver fitness.