Location & approach

By car

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

By bus and train

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 20 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen and Duisburg. In addition, the university can be reached by bus lines 445, 447 and 462. Timetable information can be found on the homepage of the Rhine-Ruhr Transport Association, and DSW21 also offer an interactive route network ma

The H-Bahn

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

By plane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund's main train station, and from there, the S-Bahn takes you to the university. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

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Location & approach

By car

By bus and train

The H-Bahn

By plane

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DFG funding for data structures to combine area queries and clustering

10/10/2025 -

News
Forschung

Professor Buchin receives a DFG grant for research into new data structures for geometric domain queries.

Professor Buchin, holder of the Chair of Algorithm Engineering, has been awarded a DFG grant to research new data structures for geometric domain queries.

The aim of the project is to develop methods that not only find all objects in a query area efficiently, but can also determine their clustering at the same time - without having to recalculate the data. This extends classic concepts of algorithmic geometry to include important analytical functions that are of great importance in many applications.

The faculty warmly congratulates Professor Buchin on this achievement and wishes him and his team every success in the research project.