September 14, 2023

Utilising the potential of AI for climate protection - AIAMO project receives funding certificate

Credit:

BMDV

  • AIAMO uses artificial intelligence to make mobility data in municipalities more accessible and to analyse it intelligently.
  • The project also aims to give small municipalities low-threshold access to new technologies such as digital twins and AI.
  • Focus areas: AI, mobility, data management, traffic management

Traffic in Germany will increase significantly across all modes of transport - as recently confirmed by the BMDV's long-term traffic forecast up to 2051. In order to support municipalities in managing the increasing demand for mobility in an environmentally friendly way, the German Aerospace Centre (DLR) is relying on artificial intelligence with the AIAMO ("Artificial Intelligence and Mobility") project. In the AI model project, twelve project participants from research and industry are working on making existing mobility data in municipalities more accessible and analysing it intelligently. The federal government is funding the project with 16.7 million euros as part of the AI funding programme.

The project aims to bring together a wide range of municipal mobility and environmental data and process it using AI - in the interests of environmentally friendly mobility management. This will create a data integration zone that is specially optimised for the organisation of mobility in municipalities. This should also give small municipalities low-threshold access to new technologies such as digital twins and AI. Regional start-ups and SMEs can also be granted access to the integration zone in order to develop new mobility services, for example. The integration zone can also process data from the Mobility Data Space and feed it back to it. As part of the project, the DLR-Institute of Transportation Systems will be involved in research into using AI to interpret the traffic situation, plan demand-responsive transport and create digital twins. The project is scheduled to run for three years.

Project participants

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