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Accessibility Statement for IAMT – Move2CCAM

This statement applies to the Impact Assessment Modelling Tool (IAMT) developed under the Move2CCAM project (Grant Agreement No. 101069852).

We are committed to ensuring that IAMT is accessible to all users, including people with disabilities. The platform aims to follow the accessibility guidelines defined by EN 301 549 v3.2.1, which align with WCAG 2.1 Level AA standards.

You should be able to:

  • Navigate most of the platform using just a keyboard
  • Use modern screen readers and speech recognition software
  • Zoom in up to 200% without loss of functionality
  • Adjust settings like contrast and font size using browser-based tools

Tested with:

  • Latest version of Chrome
  • Keyboard navigation on Windows and macOS

Despite our efforts, some accessibility issues may still exist, such as limited keyboard support in some interactive elements or insufficient contrast in certain areas. We are actively working to resolve these.

If you experience any accessibility barriers, please contact us at iamt@mobyx.co or at info@mobyx.co.

We aim to respond within 15 business days.

This statement was last reviewed in April 2025.

Unlocking Automated Transport Insights

Impact Assessment Modelling Tool

This tool, designed using co-created and open-source data, aims to evaluate the multidimensional impact of self-driving passenger and freight transportation scenarios across various regions and time horizons up to 2050 using system dynamics approaches. How can you benefit from it?

a) Enables policy-makers to perform decisions benefiting the society due to the emergence of self-driving vehicles

b) Updates information of existing SUMPs,

c) Enhances local and regional capacity for governance and innovation in urban mobility and logistics.

This project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No 101069852.

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