Mertens, Jan Cedric (CARIAD SE), Göbel, Jan-Philipp (CARIAD SE, Johannes Kepler University (JKU), Technische Hochschu)

How to Collect Data from Alcohol-Impaired Drivers? Study Design for a Multi-Modal In-Cabin Dataset

Scheduled for presentation during the Video Session "On-Demand Video Presentations" (VP-VP), Saturday, November 22, 2025, 08:00−18:00, On-Demand Platform

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on April 2, 2026

Abstract

Impairment detection is a crucial step towards safer road traffic. To collect data for the development of an alcohol-related impairment detection, a comprehensive study was conducted in a dynamic driving simulator with 105 participants successfully participating with breath alcohol concentrations of up to 1.0‰. Uniquely, the study recorded not only driving behavior but also data from multimodal in-cabin sensors (IR-camera, radar, thermal-camera, etc.) in a realistic driving environment. Further, in addition to periodic measurements of the breath alcohol concentration, impairment tests were conducted to not only obtain intoxication levels but objective impairment indicators. This paper describes the study design and addresses the technical, ethical, and organizational considerations and challenges encountered in planning and conducting such an extensive and complex study, aiming to support the scientific community as a foundation for further research.