The presentation summarises the work performed in two European-funded research projects from the HORIZON 2020 research and innovation programme, tackling the modelling, simulation and analysis of impacts of Connected and Automated Mobility (CCAM) systems in Europe.

Within the LEVITATE project (https://levitate-project.eu), a general framework is proposed for assessing quantifying the potential impacts of CCAM systems on network performance and capacities, addressing the question of how we can represent microscopic simulation results at the macroscopic level, focusing on the scalability and transferability aspects.  The approach is based on the Macroscopic Fundamental Diagram (MFD) to derive the network capacities under various simulation scenarios with mixed traffic flow consisting of conventional vehicles and Autonomous Vehicles (AVs). The framework was applied to different urban networks and the results demonstrate consistent trends in terms of impacts.

Within the SAFE-UP project (https://www.safe-up.eu), a simulation environment was deployed for the assessment of future safety-critical scenarios with a mix of human-driven and automated vehicles (AVs) that requires the deployment of massive simulation experiments where computation power is critical. The developed simulation environment, based on the Aimsun Next software technologies, integrates improved behavioural models for representing manual drivers and Vulnerable Road users, such as powered two-wheelers, bikes and pedestrians.