In the fast lane with AI: AIAMO in KOMMUNALtopinform
How can traffic jams, emissions and tight budgets be tackled simultaneously? An article in the professional magazine KOMMUNALtopinform shows how AI-supported mobility management makes urban mobility more efficient and sustainable.
AIAMO relies on open interfaces, powerful AI models and a decentralised architecture that seamlessly integrates a wide variety of data sources. With modular, resource-saving AI tools, local municipalities can make efficient use of existing infrastructure, optimise traffic flows and implement sustainable mobility strategies. Public transport companies benefit from greater efficiency and better networking – for example, for intermodal service offerings.
SMEs can directly access the AI data and trained models in AIAMOnexus to develop applications or business models without having to set up additional development teams.
This turns theory and science into tangible practice, as the pilot regions of Leipzig and Landau demonstrate.
The complete AIAMO article from KOMMUNALtopinform 09/2025 is available here (in German).
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10.04.2025 - Leipzig and Landau in der Pfalz presented as the first AIAMO Pilot Regions in the BMDV [more...]
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19.03.2025 - New press article: Social mobility as a success factor in the mobility transition [more...]
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05.02.2025 - New AIAMO series in the German specialist magazine Straßenverkehrstechnik: interview on the potential of AI in mobility management [more...]
24.10.2024 - Optimization and calibration of vehicle following models with drone data [more...]
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