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 ‘OptiModal’ research project aims to optimise local public transport in rural areas through the development of digital tools. This involves linking demand-led transport services with adapted scheduled services in order to create a competitive offer to private transport. A comprehensive database will first be created to serve as a virtual image of the region. On this basis, transport requirements are analysed and a realistic simulation and optimisation tools are developed, which are interlinked.

 

Advanced visualisation methods for 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.