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Fit2Drive

Reference number
Coordinator Statens Väg- & Transportforskningsinstitut - Statens väg- och transportforskingsinstitut
Funding from Vinnova SEK 4 580 000
Project duration April 2020 - February 2023
Status Completed
Venture Traffic safety and automated vehicles -FFI
Call Traffic safety and automated vehicles - FFI - autumn 2019
End-of-project report 2019-05834eng.pdf (pdf, 1594 kB)

Purpose and goal

The aim of this study was to assess how alcohol intoxication interacts with driver attention and how it affects fitness to drive. Data from 35 drivers who drove a car on a test track and in a simulator under different degrees of alcohol intoxication were collected. The algorithms that monitor driver state with regard to sleepiness and attention could be improved and indicators for the detection of alcohol intoxication could be developed. However, an implementation for real-time tests could not be carried out within the framework of the project.

Expected effects and result

Compared to sober driving, drivers did not use compensatory strategies when performing extra tasks under the influence of alcohol. Attention deteriorated in several ways, and the quality of driving decreased. Some physiological measures were indicative of alcohol intoxication, although there were differences between manual and automated driving. Higher-level indicators varied more. Due to the differences in the measurements between manual and SAE L4-körning, additional data are needed for more automation levels to develop algorithms that work agnostic of automation level.

Planned approach and implementation

The data collection took place on a test track (manual and SAE L4) and in the simulator (manual) with 35 participants who drove through the same scenarios five times, first sober and with increasing degrees of alcohol intoxication. A field study with another 35 sober drivers was also carried out. The analysis of the first study was done both for physiological data and for higher cognitive processes as well as for driving ability. Comparisons were made between the different levels of intoxication as well as between levels of automation and between different driver monitoring systems.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 29 June 2023

Reference number 2019-05834

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