The doi 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: 10.4121/21069820

Vos, Johan; de Winter, Joost; Haneen Farah; Hagenzieker, M.P. (Marjan) (2023): Which Visual Cues do Drivers Use to Anticipate and Slow Down in Freeway Curve Approach? An Eye-Tracking and Think-Aloud On-road Study - Dataset. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21069820.v1

Dataset

• Engineering Design
• Cognitive Sciences

curve driving, Eye tracking study, Speed Behavior, Think aloud

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Johan Vos , Joost de Winter , Haneen Farah , M.P. (Marjan) Hagenzieker

An on road experiment was conducted in which 31 participants drove through six freeway curves in their own car. During the experiment, look-ahead fixations and speed were recorded using an eye-tracker and a GPS tracker, respectively. In addition to these measurements, the participants verbalised their reasons for changing speed.  The collected data is shared here:

- GPS data of the researched sections

- Filtered Eye-tracking data, containing the fixations, timestamps and AoI labels

- Verbalisations

- 6 muted video’s of the HD-camera from the eye-tracker, containing fixation data (a video for each curve, from a single participant)

- Output from the questionnaires

More backgrounds can be read in:

Vos, J., de Winter, J., Farah, H., & Hagenzieker, M. (2023). Which Visual Cues do Drivers Use to Anticipate and Slow Down in Freeway Curve Approach?  - An Eye-Tracking and Think-Aloud On-road Study. Transportation Research Part F: Traffic Psychology and Behaviour

• 2023-01-31 first online, published, posted

4TU.ResearchData

.csv for the AoI and GPS dataset .xlsx for the verbalisation and survey .mp4 for the video's

Which Visual Cues do Drivers Use to Anticipate and Slow Down in Freeway Curve Approach? An Eye-Tracking and Think-Aloud On-road Study

TU Delft, Faculty of Civil Engineering and Geoscience, Department of Transport and Planning; TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE)