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: 10.4121/3bb2f535-59ec-426c-b69a-e113810543b2

Driessen, Tom; Stefan, David; Heikoop, Daniël; Dodou, Dimitra; de Winter, Joost (2024): Supplementary data for the paper 'Using mobile devices for driving test assessment: A study of acceleration and GPS data'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3bb2f535-59ec-426c-b69a-e113810543b2.v1

Dataset

• Ground Transport
• Automotive Engineering
• Other Technology
• Engineering
• Transport
• Technology

acceleration, aggressive driving, cautious driving, driver education, driver monitoring, driving styles, driving test, sensor measurements

CC BY 4.0

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

by Tom Driessen, David Stefan, Daniel Heikoop , Dimitra Dodou , Joost de Winter

There is a need to improve the validity of the driving test as a measure of an individual’s ability to drive safely. This paper explores the use of algorithms to analyze acceleration and GPS data from a smartphone and a GoPro to distinguish between different driving styles, as performed by experienced examiners portraying stereotypical driving test candidates. Measures from nine driving tests were analyzed, including (harsh) accelerations, jerk, mean speed, and speeding. Results showed that the type of car, instructed driving style, and driving route impacted the dependent measures. It is concluded that GPS and accelerometer data can effectively distinguish between cautious, normal, and aggressive driving. However, it is important to consider additional sensors, such as cameras, to allow for more context-aware assessments of driving behavior. Furthermore, we demonstrate methods to quantify variations in road conditions and provide suggestions for presenting the data to driving examiners.

• 2024-05-13 first online, published, posted

4TU.ResearchData

script/m; script/py; data/mat; data/csv; video/mp4

Using mobile devices for driving test assessment: A study of acceleration and GPS data

Faculty of Mechanical Engineering, Delft University of Technology
Research & Development, Centraal Bureau Rijvaardigheidsbewijzen