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) |
Important results from the project
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 long term effects
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.
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.