fNIRS dataset for the driving risk cognition of passengers in highly automated driving scenarios

A total of 20 participants completed this driving simulator experiment. This study complied with the Declaration of Helsinki and was approved by the Institutional Review Board of Tsinghua University, China. Participants were voluntary after the task and informed consent had been explained, and they also were informed that they may terminate this experiment at any time without any type of penalty. This experiment need participants focus on the front scenarios, so few random stimulating sounds are added in each VTD segment. When doing experiment, participant sits in this driving simulator and looks at the front screen. When he feels dangerous or hears a stimulating sound, he is asked to press the keyboard. This dataset is collected using a human factor signal acquisition system, and it includes a driving simulator, a hardware-in-loop equipment, and a host computer. This hardware-in-loop equipment is a Redhawk system, which is a real-time system, and runs Virtual Test Drive (VTD) software; The host computer is a window system and runs Matlab/Simulink, Python module and Oxysoft software. The functions of Matlab/Simulink include the communication between hardware-in-loop equipment and host computer by using User Datagram Protocol (UDP) and the communication between host computer and Oxysoft software; Python module will record the time when they press a keyboard; Oxysoft software and blood oxygen monitoring device work together for acquiring cerebral oxy-haemoglobin change ΔHbO and deoxy-haemoglobin change ΔHbR of passengers. When Matlab/Simulink receives the data about position, velocity and acceleration of ego vehicle and target vehicle (or pedestrian), the raw data of ΔHbO and ΔHbR and participant status, and Matlab/Simulink will joint those data with current time, then compose a new data. When all participants finish this experiment, the new data in same highly automated driving scenario is extracted based on time, and those data is considered as a group. The data of each participant in a highly automated driving scenario is considered as a sample data, and the sample data contains the information of position, velocity acceleration about ego vehicle and target vehicle (or pedestrian) and the raw data of ΔHbO and ΔHbR. Besides, the sample data also contains a kinetic energy field and a flag bit, the kinetic energy field may indicate a danger degree of driving scenario, and it involves relative longitudinal distance and the speed of target vehicle (or pedestrian); The flag bit indicates that whether or not the period in a sample time contains a stimulating sound, if it is true, then the period contains a stimulating sound, or not.