AI for more attractive intermodal mobility
Using artificial intelligence to make sustainable and intermodal mobility more attractive and seamless.
The advancing digitalization and transformation of mobility offer considerable potential to enable intermodal mobility solutions under the aspects of economy, sustainability, environmental friendliness, and individuality. At the end of 2021, the three-year DAKIMO research project was launched with the aim of using artificial intelligence methods to make sustainable and intermodal mobility more attractive and to enable seamless design. One focus of the project partners is the analysis of the potential of already existing heterogeneous data sources, as well as the availability of the aggregated results in order to predict a situational and needs-oriented choice of means of transport and routes.
For this purpose, data from public transport operators, cities and municipalities, as well as traffic junction information and user:inside data will be enriched with environmental information on weather and traffic and analyzed and processed using modern AI methods.
After the successful market entry of Invenium Data Insights in Germany in mid-2022, we are pleased to act as a data provider for such a high-profile research project. The insights generated from the mobile radio-based movement flow analyses enable the visualization and comprehension of human mobility and represent the data-based user behavior in Karlsruhe in the DAKIMO project.
“Data is the basis for designing the future of mobility in a sustainable and meaningful way! Personally, it is a great pleasure for me to discuss the methods of artificial intelligence for the use of sustainable mobility design with such renowned experts and to deliver our analyses or data to the project.”
Michael Cik (Co-Founder and Transportation Scientist)
Further information on the research project, as well as results, can be found at: dakimo.server.de