Professional article in bfp Magazine: Better mobility decisions with AIAMO
In the article “Fleet management: Using AI from fines to decision-making”, Markus Wartha, AIAMO consortium leader, explains the project principle of “Decision Driven Data Making”: the starting point is always the specific decision that needs to be made. From this, the system determines which traffic and environmental data are required and how they should be processed for AI-supported analyses in order to provide the best possible decision support.
The article uses travel to RB Leipzig football matches as an example. A virtual model can be used to examine in advance how additional temporary bus stops would affect traffic flow and public transport capacity. The results can be incorporated into planning and routing recommendations.
Companies can also use the data basis developed in AIAMO for their own fleet management applications. This may include charging decisions in the face of fluctuating electricity prices, organising car-sharing schemes, or adapting routes to traffic volumes, costs or emissions.
20.05.2026 - A fresh breeze: Modern mobility management with AIAMO – Interview with the UFZ team in the Straßenmagazin KIPPE [more...]
19.05.2026 - AIAMOroadshow goes Dresden – Register Now for Free! [more...]
23.04.2026 - New expert article on Springer Professional: Floating car data for AI-based traffic models [more...]
22.04.2026 - 6th AIAMOcamp – Focus on inplementation [more...]
15.04.2026 - AI as the Key to Social Mobility in Local Public Transport [more...]
09.04.2026 - Public transport data as a key component of environmentally-sensitive mobility management [more...]
02.04.2026 - First virtual AIAMOroadshow — register now [more...]
19.03.2026 - Impulse Paper from the platform 'Learning Systems': AI-based Mobility Management in Local Authorities [more...]
24.02.2026 - Wholistic system instead of a modular approach: the current status of the AIAMO project [more...]
05.02.2026 - New expert article in Straßenverkehrstechnik: Making public transport reliable and climate-friendly with AI [more...]
