Tobias Hardes, Dalisha Logan, Christoph Sommer and Florian Klingler, "Poster: Enabling Comparable and Reproducible Simulations for V2X Research," Proceedings of 13th IEEE Vehicular Networking Conference (VNC 2021), Poster Session, November 2021, pp. 131–132.


Simulations are a prime performance evaluation technique for new Vehicle to Everything (V2X) methods and approaches. However, after decades of simulation-backed research, comparability and reproducibility of simulation studies is still low. In this work, we first survey road traffic simulation parameters (that is, scenarios) employed in recent scientific publications, revealing that many publications still do not adequately describe simulation scenarios to make the results comprehensible. As just one example, over 40% of the simulations using either a Manhattan Grid or Chicago Grid do not provide information about the number of lanes. At the same time, our survey reveals that, even though employed road traffic scenarios are very use case specific, there exist many commonalities. We therefore advocate basing research on use case specific variants of a set of these common standard road traffic scenarios. We accompany this recommendation with Simple Synthetic Scenarios for Sumo (SSS4S), a simple reference implementation to generate such variants.

Quick access


BibTeX reference

  author = {Hardes, Tobias and Logan, Dalisha and Sommer, Christoph and Klingler, Florian},
  title = {{Poster: Enabling Comparable and Reproducible Simulations for V2X Research}},
  booktitle = {13th IEEE Vehicular Networking Conference (VNC 2021), Poster Session},
  doi = {10.1109/VNC52810.2021.9644677},
  isbn = {978-1-66544-450-7},
  month = {November},
  pages = {131--132},
  publisher = {IEEE},
  year = {2021},

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceeedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.