TRUSTONOMY - Pilot 2 (Univ. Eiffel) Dataset

The following dataset contains information collected during the project TRUSTONOMY: Building Acceptance and Trust in Autonomous Mobility (H2020, MG 3.3 Grant no. 815003, 2018-2022). It presents the results of Pilot 2 conducted by Gustave Eiffel University in Versailles, France. The experiment was conducted on a passenger car simulator (automation level L4) and focuses on the Automated Decision-Support pillar. The dataset contains the results of 51 participants in the experiment, which consisted in a series of 18 runs where the driver needs to take control of the car after an initial section in autonomous mode. Each of the run takes place in one of 6 locations and uses one of 6 scenarios. The trajectory, speed and automation mode data can be found in the 18 csv files. The attached pdf file describes the different scenarios and locations used in the experiment, the labels used in the csv files, as well as some trajectory data for each location.