Project group Artificial Intelligence in Logistics - EC - TU Dortmund

Location & approach

via car

The campus of TU Dortmund University 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. It is best to park in the large parking lot on Otto-Hahn-Straße.

via train and bus

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 15 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 Verkehrsverbund Rhein-Ruhr, and DSW21 also offer an interactive route network map.

via H-Bahn

One of the landmarks of the TU Dortmund University 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.

via airplane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund Central Station and from there to the university by S-Bahn. 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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Contrast Deutsch

Location & approach

via car

The campus of TU Dortmund University 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. It is best to park in the large parking lot on Otto-Hahn-Straße.

via train and bus

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 15 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 Verkehrsverbund Rhein-Ruhr, and DSW21 also offer an interactive route network map.

via H-Bahn

One of the landmarks of the TU Dortmund University 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.

via airplane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund Central Station and from there to the university by S-Bahn. 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.

ServicePortal UniMail

Enterprise Computing

Project group Artificial Intelligence in Logistics: Process optimization through automated anomaly detection in telemetry data

As part of the project group, the students are working together with DATINEO GmbH as a partner on a system for detecting anomalies in logistics telemetry data. The focus here is on implementing a Learning Classifier System (LCS) that evaluates and classifies the telemetry data. The subtasks of the project include

Familiarization with literature, existing implementations and data
Requirements analysis for the LCS to be developed
Processing the telemetry data with regard to anomalies
Prototypical development of the LCS incl. feedback mechanism
Statistical evaluation of the LCS
Presentations of interim and final results as well as written summaries of the project results and provision of the developed program code

Students acquire and deepen their project management and communication skills. Students work together in smaller and larger self-organized agile teams and present interim results and plans for the next steps in regular project meetings.

Students also deepen their knowledge in the areas of anomaly detection and its implementation, as well as the associated data processing. The envisaged LCS will serve as the target architecture and will be supplemented by a feedback mechanism for users to enable reinforcement learning in the context of human-AI interaction.

Telemetriedaten und LKW