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IntoxEye - Increasing Road Safety through Monitoring Intoxication in Drivers

Reference number
Coordinator RISE Research Institutes of Sweden AB
Funding from Vinnova SEK 500 000
Project duration November 2023 - November 2024
Status Completed
Venture Safe automated driving – FFI
Call Traffic-safe automation - FFI - autumn 2023

Important results from the project

The goals at the start of the project were to investigate behavioural and biophysiological markers of intoxication in drivers in a simulated study (pre-study) with approximately 10 participants. The goals were met in relation to the results findings above and also the development of a procedure that can be used or further enhanced for future studies. The utilization of the software BeamNG was also interesting as an immersive, realistic driver environment compatible with ASAM OpenDRIVE.

Expected long term effects

As the number of drivers on the roads who become intoxicated in Sweden increases, automatic detection of drunkenness becomes an important tool for safer roads. It is a long-term objective to develop a DMS to detect drunk drivers. Further work on real-world scenarios will help in the long term to determine the limitations of i) the traceability of biobehavioral markers of intoxication, ii) the reliability of driver monitoring systems to detect such signals.

Approach and implementation

A pilot study with initially 10 participants was conducted. Participants performed critical driving maneuvers in a driver simulation environment while sober and also while moderately intoxicated (up to 1.0 blood alcohol concentration). The intoxicated state of the participants was monitored and analyzed according to EEG and eye behavior as well as driver behavior (e.g speed and steering). Participants also had to fill out questionnaires about their condition.

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

Last updated 12 December 2024

Reference number 2023-02606