Deliverable D4.1 presents the beta version of the MOVE2CCAM Impact Assessment and Modelling Tool (IAMT), a key innovation in evaluating the potential impacts of Cooperative, Connected and Automated Mobility (CCAM) solutions across Europe.
The IAMT is designed to help policymakers, researchers, and stakeholders simulate and assess the long-term effects of self-driving transport services—both passenger and freight—across multiple domains, including safety, mobility, health, land use, economy, equity, environment, and network efficiency.
Key features of the deliverable:
• A conceptual architecture built on System Dynamics modelling, capable of simulating complex feedback loops and interdependencies in CCAM ecosystems
• Integration of machine learning techniques to forecast future outcomes and enhance scenario testing capabilities
• A visualisation dashboard with Key Performance Indicators (KPIs), enabling users to explore results and make comparative policy assessments across different regions and use cases
• A technical design based on a modular, scalable architecture, using modern technologies (React, Node.js, MongoDB, R, Python) and deployed securely in the cloud
• Support for a wide range of interactive scenarios, including the ability to adjust variables, compare results, and analyse outcomes across different regions using NUTS-2 level data
The beta version includes primary data gathered from thousands of citizens and organisations, along with secondary data from European and national sources. It also incorporates insights from a pan-European survey on attitudes toward autonomous transport.
This tool lays the groundwork for the final version to be delivered in D4.2, which will include validated KPIs and a user manual, ensuring wide usability and long-term sustainability through integration with the BABLE platform.
