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New journal article on future hybrid vehicular traffic systems accepted for publication

Although the development of fully autonomous vehicles is one of the major research topics in the Intelligent Transportation Systems domain, the upcoming long-term transition period – the hybrid vehicular traffic – is often neglected. However, within the next decades, automotive systems with heterogeneous autonomy levels and highly varying communication and coordinates capabilities will share the same road networks, resulting in new problems for traffic management systems and communication network infrastructure providers.


The article presents pioneering work in analytical modeling of hybrid vehicular traffic systems and is realized as a joint work developed within the DFG SFB 876 between traffic physicists (Tim Vranken, Prof. Michael Schreckenberg from PTT Duisburg Essen) and communication experts (Benjamin Sliwa, Prof. Christian Wietfeld from CNI).

The newly proposed cellular automata model is parameterized in compliance with data exchange frequency of the V2X standards and allows to describe the traffic capacity as a function of the penetration rate of autonomous and communicating traffic participants. While fully autonomous and connected traffic systems are able to increase the traffic capacity by up to 480 %, significant benefits can be already achieved in the intermediate periods, in particular through introduction of communication-enabled mutual coordination.



T. Vranken, B. Sliwa, C. Wietfeld, M. Schreckenberg, "Adapting a cellular automata model to describe heterogeneous traffic with human-driven, automated, and communicating automated vehicles", In Physica A: Statistical Mechanics and its Applications, February 2021.