This research is based on data gathered in 2020 at Delft University of Technology. This dataset is from a driving simulator experiment, whose goal was to study human drivers' behaviour in mixed traffic, which has both human-driven vehicles and connected and automated vehicles (CAVs).
The driving simulator used is located at the Transport & Planning department of Delft University in the Netherlands. It operates using the SCANeR (v1.9) software by AV Simulation. It is a fixed base driving simulator equipped with a Fanatec steering wheel and pedals, a dashboard mock-up, and three 4 K high-resolution screens which approximately provide 180° vision.
The dataset consists of 36 participants, over different ages and both males and females.
The route in the driving simulator consisted of a motorway with a defined speed limit of 100 km/h. On the motorway, drivers also experienced dynamic speed limit sections, where a decreasing speed limit from 100 to 70 to 50, and again back to 100 was applied. A depiction of the route is attached in this dataset information.
Each driver drove 7 scenarios. The scenarios were defined using two variables: the penetration rate of CAVs (0%, 10% and 40%) and the distance of speed limit information provision to CAVs (300 m, 600 m, and 900 m).
More details about the experiment set-up itself can be found in the master thesis: http://resolver.tudelft.nl/uuid:b2bf818d-1cc9-40fb-8515-eef9b8eb348a
Attached files:
Processed dataset
ReadMe file
Data processing scripts
File formats:
Data /.csv
Data /.xlsx
Jupyternotebooks /.ipynb
ER -