EMILIA

The project “EMILIA” is developing tools for holistic mobility planning for public transport and ride sharing in rural districts. The goal is to support the planning and optimisation of such services. Simulation models integrated into a digital twin will be used for evaluation. With optimisation tools, services can be improved and re-evaluated through simulation. The foundation is a data lake representing a virtual image of the region, based on structural, movement, and usage data, as well as analytical methods including neural networks. This data is used to analyse transport demand and mode choice. Building on this, a realistic simulation and optimisation tools are developed and integrated. These enable partial automation of planning steps such as stop placement and timetable creation. The project also explores new visualisation methods to support planners in representing complex relationships within this planning context.

Tasks of the Chair:

Development of two simulation models of the Hof County and the City of Hof using SUMO and MATSim

Heuristic optimisation of a cooperative public transport network combining fixed-route services and on-demand mobility

Support in developing optimisation methods for the efficient use of resources in operating the public transport network

Funding: mFUND- Federal Ministry of Transport and Digital Infrastructure

Keywords: On-demand mobility, rural public transport, optimisation models, data analysis

Partners: Hochschule Hof, Institut für Informationssysteme, PLAN4BETTER GmbH, Match Rider GmbH, fluxguide Ausstellungssysteme GmbH

Website: https://www.bmv.de/SharedDocs/DE/Artikel/DG/mfund-projekte/emilia.html

Duration July 2024 – July 2027

Contact: Antonios Tsakarestos, Fadi El Eid