Horizon Europe is the European Union (EU) funding programme for the period 2021 – 2027, which targets the sectors of research and innovation. The programme’s budget is around € 95.5 billion, of which € 5.4 billion is from NextGenerationEU to stimulate recovery and strengthen the EU’s resilience in the future, and € 4.5 billion is additional aid.
The deployment of CCAM systems in mixed traffic will mean intense interaction with all road users such as the human drivers of other vehicles as well as pedestrians and riders of two-wheelers. These interactions (including implicit and explicit communication by humans and CCAM systems) will play a crucial role in the acceptance and thereby the penetration of CCAM systems in future road transport.
CCAM systems will have to show safe and human-like driving behaviour, so that their decisions and actions can be anticipated easily by all road users, respecting the variety of typical driving behaviour across different countries as well as the need for CCAM systems to respect traffic rules and support road safety.
This will require validated models of explicit and implicit human driving behaviour to design and validate such system behaviour. These models will be needed in closed loop simulations of CCAM systems in mixed traffic to realistically represent the reactions of human drivers in other vehicles to the behaviour of a CCAM system. Models representing human driving behaviour are being developed by the projects i4Driving and BERTHA for selected fields of application, i.e. they will be calibrated for a limited number of scenarios. Bringing together and building upon the results of these projects – in particular a simulation library and an innovative methodology to account for uncertainty from i4Driving and a scalable, probabilistic driver behavioural model from BERTHA, research is needed to extend the fields of application that these projects are addressing with a focus on representing driver behaviour in a multitude of safety-critical scenarios, considering the variation and statistical distribution of human behavioural patterns and the factors influencing such behaviour, including the parallel execution of non-driving related tasks.
To achieve high degrees of robustness and applicability in a wide range of scenarios, detailed calibration and parameterisation is necessary, as driver behaviour depends on factors such as the road infrastructure, vehicle types, traffic conditions and rules, as well as regional influences and driver experiences / demographics, e.g., gender, age and other relevant social variables. Considering the deviation of average from ideal human driving behaviour, proposed actions must also validate the models for their extended fields of application, going well beyond the applications and degrees of validation accomplished by the above-mentioned projects under HORIZON-CL5-2022-D6-01-03. Proposed actions are thus expected to raise the technology readiness of such models to TRL 5. Data for parameterisation and validation should be captured by monitoring real human drivers in driving simulators and/or real traffic considering what is happening inside and outside the vehicle.
100%
Expected EU contribution per project: €5.00 million.
The following exceptions apply: subject to restrictions for the protection of European communication networks.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects.
Research and Innovation Foundation
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Persons to Contact:
Mr. Christakis Theocharous
Scientific Officer A’
Email: ctheocharous@research.org.cy
Mr. George Christou
Scientific Officer
Email: gchristou@research.org.cy