Driving simulator dataset on human driven vehicles' speed compliance under variable speed limits in mixed traffic with automated vehicles

DOI:10.4121/91308654-6467-49c5-be0f-12b056e42ec7.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/91308654-6467-49c5-be0f-12b056e42ec7
Datacite citation style:
Reddy, Nagarjun; Haneen Farah (2025): Driving simulator dataset on human driven vehicles' speed compliance under variable speed limits in mixed traffic with automated vehicles. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/91308654-6467-49c5-be0f-12b056e42ec7.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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

History

  • 2025-03-13 first online, published, posted

Publisher

4TU.ResearchData

Format

Data /.csv Data /.xlsx Jupyternotebooks /.ipynb

Funding

  • Safe and efficient operation of AutoMated and human drivEN vehicles in mixed traffic (grant code 17187) [more info...] Applied and Technical Sciences (TTW), a subdomain of the Dutch Institute for Scientific Research (NWO)

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning, Traffic Systems Engineering

DATA

Files (2)