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State of the art on measuring driver state and technology-based risk prevention and mitigation Findings from the i-DREAMS project

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conference contribution
posted on 06.03.2020, 14:08 by Susanne Kaiser, Christos Katrakazas, Eva Aigner-Breuss, Fran Pilkington-CheneyFran Pilkington-Cheney, Apostolos Ziakopoulos, George Yannis, Tom Brijs
Advanced vehicle automation and the incorporation of more digital technologies in the task of driving, bring about new challenges in terms of the operator/vehicle/environment framework, where human factors play a crucial role. This paper attempts to consolidate the state-of-the-art in driver state measuring, as well as the corresponding technologies for risk assessment and mitigation, as part of the i-DREAMS project. Initially, the critical indicators for driver profiling with regards to safety risk are identified and the most prominent task complexity indicators are established. This is followed by linking the aforementioned indicators with efficient technologies for real-time measuring and risk assessment and finally a brief overview of interventions modules is outlined in order to prevent and mitigate collision risk. The results of this review will provide an overall multimodal set of factors and technologies for driver monitoring and risk mitigation, essential for road safety researchers and practitioners worldwide

Funding

EU H2020 i-DREAMS project (Project Number: 814761) funded by European Commission under the MG-2-1-2018 Research and Innovation Action (RIA).

History

School

  • Design

Source

Transport Research Arena (TRA 2020)

Version

AM (Accepted Manuscript)

Publisher statement

This paper was presented at the Transport Research Arena (TRA 2020), Helsinki: 27th April 2020 - 30th April 2020. Reproduced with permission of the conference organisers.

Acceptance date

19/12/2019

Publisher version

Language

en

Location

Helsinki, Finland

Event dates

27th April 2020 - 30th April 2020

Depositor

Mrs Fran Pilkington-Cheney Deposit date: 6 March 2020