Dataset for driving behaviors study in the mixed traffic environment with autonomous vehicles and human-driven vehicles

Background In the VR-enabled driving simulator environment, this dataset is collected from 50 drivers from Beihang university and communities around in China, who have different demographic information (age, gender, driving years) and prior driving-simulator and VR experience for usage. And in our study about to be submitted to a journal, it is used to study the difference of behaviors of drivers towards autonomous vehicle(AV) and human-driven vehicle(HV) in the mixed traffic flows. Data collection environment: CARLA + DReyeVR(https://github.com/HARPLab/DReyeVR, which offers the support for VR) + SUMO Experiment scenario: a non-signalized crossing in the built-in map of Town 03 of CARLA Dataset structure There is one zip file in this dataset. "All_excelData_of_All_drivers.zip" contains all data in excel format of all drivers/participants. The names of all files in the zip file obey the following rules: name of driver/participant + type of vehicle(AV or HV) + experiment times(1, 2 or 3). Taking "cmy_AV_1" for an example, it means it is "cmy" who finished the first AV experiment.