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The i-DREAMS intervention strategies to reduce driver fatigue and sleepiness_revised.pdf (428.54 kB)

The i-DREAMS intervention strategies to reduce driver fatigue and sleepiness for different transport modes

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conference contribution
posted on 2021-07-13, 10:52 authored by Fran 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

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

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.

Acceptance date

2021-03-15

Publication date

2021-09-07

Copyright date

2021

ISBN

9781728189956

Language

  • en

Location

Heraklion, Greece Online

Event dates

16th June 2021 - 17th June 2021

Depositor

Mrs Fran Pilkington-Cheney. Deposit date: 13 July 2021

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