Alexander Brummer

Alexander Brummer, M. Sc.

Department of Computer Science
Chair of Computer Science 7 (Computer Networks and Communication Systems)

Room: Room 06.132
Martensstr. 3
91058 Erlangen

Short Biography

Alexander Brummer is a research assistant and part of the “Connected Mobility” group at the chair of Computer Networks and Communication Systems.
After finishing school in 2011 he studied Information and Communication Technology at the Friedrich-Alexander University Erlangen-Nürnberg. Subsequent to his Bachelor degree (B.Sc., with distinction) in October 2014 he continued with the consecutive Master’s program with focus on “Embedded Systems”. In the course of his Master’s studies he spent a semester abroad at the University of Victoria in Canada. Moreover, he worked several times as working student in the area of software engineering at Siemens AG.
In the course of his research project and Master Thesis he dealt with the simulation of Car2X networks using the Veins framework developed at the chair. After obtaining the Master degree (M.Sc., with distinction) in August 2017 he decided to continue research in this area as a Ph.D. student.

More Information







  • Holistic Three-Dimensional Simulation of Connected Mobility

    (Own Funds)

    Term: 2017-10-01 - 2022-09-30
    The possibilities and challenges of vehicle-to-vehicle and vehicle-to-infrastructure communication (V2X communication) have been being researched for several years already. A popular means allowing for sufficient flexibility in the investigations whilst maintaining a relatively high level of detail is the simulation of such networks, which must take both the traffic as well as communication aspects into account. The simulation framework Veins developed at the chair has already proven to be a successful tool.

    Recently, there is a growing tendency going beyond simple communication between vehicles. Under the keyword connected mobility, researchers summarize communication between diverse road users as well as with infrastructure or buildings, as expected in the near future. In this context, road users can be conventional passenger cars and utility vehicles, but also autonomous vehicles and pedestrians or cyclists. Especially in metropolitan areas evolving into smart cities, complex traffic and communication scenarios will have to be managed frequently.

    In order to be able to investigate such situations already today, conventional V2X simulation has to be extended accordingly. On the one hand, the influence of various types of road users, e.g. pedestrians or autonomous vehicles, is to be considered. On the other hand, it is necessary to develop new channel models that can realistically depict the three-dimensional character of complex scenarios in modern smart cities with limited computational effort. To ensure correct results the new simulation models should be validated with the help of appropriate field tests. Furthermore, the computational effort of complex simulation scenarios is to be reduced with the help of AI and other suitable methods.