AuRa

Sustainable urban mobility is essential for achieving climate goals and as a foundation for livable cities. However, the efficient planning of the different infrastructure networks necessary for the various modes of transport must accommodate many interactions and types of use and is therefore subject to various, often contradictory, constraints.

The goal of the project AuRa is the development of an automated, data-driven planning algorithm for the creation of efficient infrastructure networks to simplify the strategic planning of inter- and multimodal urban transport services. On the basis of a theoretical planning approach for unimodal cycle path networks, the project will develop a framework for the data-driven planning of the inter- and multimodal infrastructure networks for the connection of bicycle traffic and public transport by further developing models for mode and route choice and the interactions of the various road users for inter- and multimodal mobility. By comparing with data from the Dresdner Verkehrsbetriebe AG on the inter- and multimodal use of public transport and shared mobility services, the efficiency of the generated planning proposals will be validated in a simulative laboratory environment using the city of Dresden as an example.

The automated creation of efficient infrastructure networks, in addition to theoretical insights into the properties of these networks, also enables the development of guidelines for the targeted planning of efficient infrastructure networks to contribute to sustainable urban mobility.