This grant, titled 'Integration of human driving behaviour in the validation of CCAM systems (CCAM Partnership)', aims to develop and validate human behavioural models for Connected, Cooperative, and Automated Mobility (CCAM) systems. The core objective is to integrate these models into virtual safety validation processes for mixed traffic simulations, leading to the design of safer, more human-like CCAM system behavior that is easily anticipatable by all road users.
This is a SECTOR-SPECIFIC grant primarily targeting the transport, automotive, and technology sectors, with a strong focus on advanced mobility, automation, and artificial intelligence. The grant is designed for research-performing organizations, including universities, research institutes, and enterprises (both SMEs and larger companies) with expertise in human behavior modeling, CCAM systems, and virtual validation.
Geographically, organizations from EU Member States and countries associated with Horizon Europe are eligible for funding. International cooperation is explicitly encouraged with research stakeholders in Japan, the United States, and other relevant third countries, particularly for data capture and validation, though direct funding eligibility for these third countries should be confirmed via Annex B of the Work Programme General Annexes.
Key filtering criteria for initial screening include a strong background in Research and Innovation Actions (RIA), a focus on advancing technology readiness to TRL 5, and the capacity to engage in international collaboration on complex R&D projects related to automated driving. This grant is part of the recurring Horizon Europe Framework Programme (2021-2027), specifically under Cluster 5, and represents a specific call within that broader program.