posted on 2020-03-06, 14:08authored bySusanne Kaiser, Christos Katrakazas, Eva Aigner-Breuss, Fran 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.