Holistic Three-Dimensional Simulation of Connected Mobility

Internally funded project

Project Details

Project leader:
Prof. Dr. Reinhard German
Dr.-Ing. Anatoli Djanatliev

Project members:
Alexander Brummer

Contributing FAU Organisations:
Computer Science 7 (Computer Networks and Communication Systems)

Start date: 01/10/2017
End date: 30/09/2020

Research Fields

Connected Mobility
Computer Science 7 (Computer Networks and Communication Systems)

Abstract (technical / expert description):

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. Besides the consideration of various types of road users, 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 investigation of the influence of autonomous vehicles requires the consideration of algorithms from the field of artificial intelligence (AI). To this end, it is also conceivable to use similar AI methods at the level of the simulation core itself, e.g. in order to reduce the computational effort of complex simulation scenarios.


Brummer, A., Deinlein, T., Hielscher, K.-S., German, R., & Djanatliev, A. (2018). Measurement-Based Evaluation of Environmental Diffraction Modeling for 3D Vehicle-to-X Simulation. In Proceedings of the 10th IEEE Vehicular Networking Conference (VNC 2018) (pp. 1-8). Taipei, TW: Taipei, Taiwan: IEEE.
Brummer, A., German, R., & Djanatliev, A. (2018). On the Necessity of Three-Dimensional Considerations in Vehicular Network Simulation. In 14th IEEE/IFIP Conference on Wireless On demand Network Systems and Services (WONS 2018) (pp. 75-82). Isola 2000, FR: IEEE.
Brummer, A., & Djanatliev, A. (2017). Towards the Evaluation of Three-Dimensional Scenarios in VANET Simulation. In Djanatliev A., Hielscher K.-J., Sommer C., Eckhoff D., and German R. (Eds.), Proceedings of the 5th GI/ITG KuVS Fachgespräch Inter-Vehicle Communication (FG-IVC 2017)} (pp. 17 - 21). Erlangen, DE: Erlangen: Friedrich-Alexander-Universität Erlangen-Nürnberg, Dept. of Computer Science, Technical Reports, CS-2017-03.
Eckhoff, D., Brummer, A., & Sommer, C. (2016). On the Impact of Antenna Patterns on VANET Simulation. In 8th IEEE Vehicular Networking Conference (VNC 2016). Columbus, OH, USA.

Last updated on 2019-02-04 at 07:40