Research Projects


Artificial intelligence methods for the optimization of fiber optic networks using the example of a smart city

Start: 11/2020

End: 10/2023

The KIGLIS project aims to significantly improve the performance and reliability of fiber optic networks as well as their cost and energy efficiency through the use of artificial intelligence (AI). The collaborative partners are focusing on the application needs in a smart city and are starting their developments directly in the network and infrastructure planning of a fiber optic access network.

The essential components in setting up fiber optic networks will be analyzed and optimized in the project using a wide variety of AI methods. Through the interaction of sensor technology, training data and network diversity, new applications are to be opened up on the basis of AI solutions and concrete, future-oriented transmission approaches are to be developed. In the process, the consortium partners are also exploring the limits of known AI methods in terms of their applicability to network infrastructures.

The smart city network infrastructure developed in the project is also intended for use in autonomous driving: The optical connection of real-time capable sensor fields to support autonomous driving while providing a large number of broadband access points for passengers will be demonstrated in an experiment at the end of the project. The final demonstrator will show the advantages and practicality of the new KIGLIS technologies at the Test Area Autonomous Driving Baden-Württemberg (TAF BW) in Karlsruhe.


Marc Zofka

Department Manager
Division: Intelligent Systems and Production Engineering

Research focus

Applied Artificial Intelligence

In this research focus, the FZI prioritizes the topics of Artificial Intelligence (AI) as well as human and AI engineering. In addition, the FZI deals with questions on dedicated AI hardware and predictive AI.

Intelligent Transportation Systems and Logistics

Intelligent solutions for the transportation of people and goods represent a focus topic of FZI’s application research. Particular attention is paid to public transport, the application of artificial intelligence, the further development of driving functions and their safeguarding, and open source & open data.

Funding notice:
The KIGLIS project is funded by the Federal Ministry of Education and Research (BMBF).

Project partners:

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