EMILIA

R&D

Germany

The three-year EMILIA research project is investigating ways to optimize intermodal transportation in rural areas. fluxguide is developing clear visualizations to make complex transportation data more accessible.

Together with the Technical University of Munich, Hof University of Applied Sciences and other partners, we will be researching innovative solutions over the next three years to make public transport in rural areas more efficient.

Project aim and realisation

The “EMILIA” research project aims to optimize local public transportation in rural areas by developing digital tools. To evaluate service offerings, the project is developing a simulation in the form of a digital twin. With the help of optimization tools, the service offerings can then be improved and re-evaluated using the simulation. To develop these tools, the project utilizes structural, movement, and usage data from existing mobility services, as well as analytical methods—including neural networks.

The project begins with the creation of a database serving as a virtual representation of the region (data lake). This data is used to analyze transportation needs and mode of transport selection. Building on this, a realistic simulation and optimization tools are implemented and integrated with one another. This allows for the partial automation of planning steps, such as the placement of stops and the creation of schedules, as well as their review and optimization. To facilitate interaction with planners, the project is exploring new visualization methods for depicting the complex interrelationships within this planning context.

Translated with DeepL.com (free version)

Clear Visualization of Complex Data

Within the project, we are developing advanced visual methods to intuitively visualise complex traffic data and simulations and make them understandable. These make it possible to partially automate planning steps such as the positioning of stops and the creation of timetables and to check their efficiency. By using mixed reality and interactive web applications, we aim to generate user-friendly solutions that support both decision-makers and laypersons in the planning and evaluation of transport systems.

The project is scheduled to run from 1 July 2024 to 30 June 2027 and is funded by the Federal Ministry for Digital and Transport (BMDV) as part of the mFUND innovation initiative.