Multimodal dataset of human driving behavior with vehicle dynamics, eye-tracking, heart rate, and music

The dataset consists of real-world driving data collected in a naturalistic urban environment and is organized into two complementary components. It includes 35 synchronized sensor-based driving session CSV files with eye-tracking measures, heart rate, music condition, vehicle dynamics, and GPS information, as well as a questionnaire CSV file containing sociodemographic data, driving experience, driving style (MDSI), and affective state (PANAS)