MAIA-CCAM: Supporting connected mobility

The MAIA project has developed MAIA-CCAM, a simulation framework dedicated to Connected, Cooperative, and Automated Mobility (CCAM). This outcome explores how automated and connected vehicles interact with each other, with road infrastructure, and with wider transport networks, including air traffic.

MAIA-CCAM provides a virtual testing ground where the benefits, challenges, and risks of CCAM deployment can be thoroughly assessed. Key areas of focus include:

• Traffic flow and safety: analysing how connectivity and automation improve road safety and optimise traffic,
• Environmental performance: understanding how CCAM affects energy consumption and emissions,
• Multimodal integration: exploring synergies between CCAM and other modes of transport, including drones and aviation,
• Policy support: providing evidence to test and inform regulations before large-scale deployment.

Findings presented in Deliverable 3.2 (D3.2) Exploratory Research Report confirm that MAIA-CCAM is a valuable tool for assessing the impacts of CCAM on sustainability, efficiency, and resilience in Europe’s transport systems.

As Europe prepares for the introduction of automated vehicles, MAIA-CCAM offers data-driven insights to help cities, regions, and policymakers design mobility solutions that are effective, sustainable, and aligned with public needs.

Discover more about the MAIA-CCAM during the MAIA & MUSE joint final event in Barcelona.