Driving in stressful and frustrating situations remains a common issue in daily traffic scenarios and has been shown to increase the risk for hazardous and aggressive driving style. We implemented a prototype combining automated detection of driver frustration in real-time and two application scenarios for frustration mitigation: A frustration sensitive ambient light and an autonomous driving assistant. In this project, we aim to improve road safety with intelligent systems that can counteract driver frustration in real-time.
