posted on 2021-07-13, 10:52authored byFran Pilkington-Cheney, Amir Pooyan Afghari, Ashleigh FiltnessAshleigh Filtness, Eleonora Papadimitriou, André Lourenço, Tom Brijs
Driver sleepiness and fatigue are important
contributors to many transport incidents and significantly
increase crash risk. Recently, detection systems have been
developed which aim to monitor the state of the driver and
detect increasing levels of fatigue. However, there has been less
focus on appropriate intervention strategies for drivers once
fatigue and sleepiness have been detected. This paper describes
the i-DREAMS fatigue intervention strategies, which aim to
keep drivers within a safe driving zone. Interventions will be
provided both in real-time and post-trip and can be customized
to be used with a variety of transport modes. Real-time
interventions will measure fatigue through trip duration, and
driver sleepiness through heart-rate variability (HRV)
information, obtained by means of sensors in the steering wheel
or a wearable device, and attributed to Karolinska Sleepiness
Score (KSS) bands. Thresholds for warnings will map onto
phases of a ‘Safety Tolerance Zone’ and will be dynamic –
changing as the driver state and driving situation develops. Posttrip interventions will aggregate data throughout the duration
of the drive and aim to provide customized feedback and coping
tips related to driver levels of fatigue and sleepiness, to improve
driving behavior. Goals and challenges will add a gamified
aspect to the post-trip interventions. The next stage of the
development of the i-DREAMS fatigue intervention strategy is
to test the concept in a series of simulator and field trials. Future
research should explore acceptance and compliance of
interventions and frequency of alerts.
Funding
EU-HORIZON 2020 research and innovation program (Grant Agreement No.: 814761)
History
School
Design and Creative Arts
Department
Design
Published in
2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
Source
7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.