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Human Factors of Automated Driving

European Union
Complete with results
Geo-spatial type
Total project cost
€3 864 201
EU Contribution
€3 864 201
Project website
Project Acronym
STRIA Roadmaps
Connected and automated transport (CAT)
Transport mode
Road icon
Transport sectors
Passenger transport


Link to CORDIS
Background & Policy context

HFAuto generates knowledge on Human Factors of automated driving towards safer road transportation. HFauto bridges the gap between engineers and psychologists through a multidisciplinary research and training programme. We combine engineering domains such as simulator hardware, traffic flow theory, control theory, and mathematical driver modelling with psychological domains such as human action and perception, cognitive modelling, vigilance, distraction, psychophysiology, and mode/situation awareness, to optimally address the interdisciplinary domain of human factors.


To generate knowledge on Human Factors of automated driving towards safer road transportation.


HFauto will train 13 Early Stage Researchers and 1 Experienced Researcher. The researchers are clustered in five synergistic work packages, conducting research on:
1. Human behaviour during highly automated driving
2. Human-machine interface of the future highly automated vehicle
3. Driver-state monitor for highly automated driving
4. Predicting real-world effects of highly automated driving
5. Legal and market perspective of highly automated driving


Parent Programmes
Funding Source
funded by a Marie Curie Initial Training Network (ITN).


The expected results are 
(1) a comprehensive understanding of human capabilities and side effects of automated driving, both in monotonous and transient situations, 
(2) a HMI that optimally interacts with the driver of a highly automated car, for situations of different criticality, 
(3) an ‘ecological’ driver monitor that estimates the operator’s vigilance level and hazard awareness, 
(4) realistic traffic flow models that predict the effects of HAD on safety and efficiency,
(5) a roadmap for market introduction of highly automated driving, and 
(6) trained researchers having the multidisciplinary and generalizable knowledge, skills, and vision required to address human factors challenges of automated driving.


Lead Organisation
EU Contribution
Partner Organisations
EU Contribution


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