Repeated Route Naturalistic Driving Dataset (R2ND2)

Repeated Route Naturalistic Driving Dataset (R2ND2) is a dual-perspective dataset for driver behavior analysis constituent of vehicular data collected using task-specific CAN decoding sensors using OBD port and external sensors, and (b) gaze-measurements collected using industry-standard multi-camera gaze calibration and collection system. Our experiment is designed to consider the variability associated with driving experience that depends on the time of day and provides valuable insights into the correlation of these additional metrics on driver behavior. The data is collected among 10 participants with varying driving expertise. Each driver drive through highway and secondary route mapped in Route map section in morning, day and evening. The research is one of many efforts from Mason Living Innovation Lab towards safe driving practices and intelligent transportation systems