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DOI: 10.4121/836a93d0-543f-42b8-8e72-aca99ebc3259

Reddy, Nagarjun; Haneen Farah; Hoogendoorn, S.P.(Serge) (2025): Driving simulator dataset on human driven vehicles' car following behaviour in mixed traffic with automated vehicles. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/836a93d0-543f-42b8-8e72-aca99ebc3259.v1

Categories

• Civil Engineering
• Ground Transport
• Engineering
• Transport

Keywords

Automated vehicles Calibration Car-following behavior Driving simulator Intersections Merging Mixed traffic On-ramp

Time coverage

2023

Licence

CC BY 4.0

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by Nagarjun Reddy , Haneen Farah , S.P.(Serge) Hoogendoorn

This research is based on data gathered in 2023 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 (HDVs) and automated vehicles (AVs).

A driving simulator experiment was designed to collect data on the car-following behavior of HDVs in the different scenarios. 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 47 drivers. We categorized them into three age categories. There were 16 younger (25 - 45) drivers (8 male, 8 female), 16 middle-aged (45 – 65) drivers (8 male, 8 female), and 15 older (70+) drivers (10 male, 5 female).

The route in the driving simulator consisted of 3 parts. Part 1: 3 motorway on-ramps (excluding an initial on-ramp), Part 2: 3 provincial road signalized intersections, and Part 3: a straight road section. A depiction of the route is attached in this dataset information. Each driver drove four scenarios, excluding an initial familiarization scenario. The four scenarios varied in terms of the appearance of the vehicle interacting with the human driver and its driving style.

More details about the experiment set-up itself can be found in our paper published: TO BE ADDED

Attached files:

Processed dataset

ReadMe file

Data processing scripts

File formats:

Data /.csv

Data /.xlsx

Python scripts /.py

Jupyternotebooks /.ipynb

History

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

Publisher

4TU.ResearchData

Format

Data /.csv Data /.xlsx Python scripts /.py 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