New Project on AI-Supported Solution for Fairer Public Transport Fares

How can local public transport become simpler, fairer, and more attractive? A research team at the chair is working with the Technische Hochschule Ingolstadt (THI) on the TransFairTarif project to develop an innovative solution using artificial intelligence (AI) to make public transport fare structures more transparent and customer-friendly.

The current fare systems are often confusing and unattractive, especially for occasional users. As part of TransFairTarif, the team is working with partners to analyze the current fare system of the Greater Ingolstadt Transport Association (VGI). With the help of customer surveys and real mobility data, the tariffs are to be optimized so that they are more comprehensible and fairer for passengers - without jeopardizing the system's economic viability.

In addition to simplifying ticket models for scheduled services, the project is also investigating how new forms of mobility such as on-demand transport can be sensibly integrated into existing fare structures.

The project will run until mid-2026 and the first surveys among the population are already being planned. With TransFairTarif, the THI and the KU are making an important contribution to the transport revolution and the creation of simpler, more transparent, and fairer public transport for everyone. The project is being funded as part of the mFUND research program of the Federal Ministry for Digital and Transport (BMDV), which supports data-based innovations in the mobility sector.