Bibliographic Entry Details

M. Segata, R. Lo Cigno, T. Hardes, J. Heinovski, M. Schettler, B. Bloessl, C. Sommer, and F. Dressler, “Multi-Technology Cooperative Driving: An Analysis Based on PLEXE,” IEEE Transactions on Mobile Computing (TMC), 2022

Abstract

Cooperative Driving requires ultra-reliable communications, and it is now clear that no single technology will ever be able to satisfy such stringent requirements, if only because active jamming can kill (almost) any wireless technology. Cooperative driving with multiple communication technologies which complement each other opens new spaces for research and development, but also poses several challenges. The work we present tackles the fallback and recovery mechanisms that the longitudinal controlling system of a platoon of vehicles can implement as a distributed system with multiple communication interfaces. We present a protocol and procedure to correctly compute the safe transition between different controlling algorithms, down to autonomous (or manual) driving when no communication is possible. To empower the study, we also develop a new version of PLEXE, which is an integral part of this contribution as the only Open Source, free simulation tool that enables the study of such systems with a modular approach, and that we deem offers the community the possibility of boosting research in this field. The results we present demonstrate the feasibility of safe fallback, but also highlight that such complex systems require careful design choices, as naïve approaches can lead to instabilities or even collisions, and that such design can only be done with appropriate in-silico experiments.


Bibtex

@article{segata2022multi-technology,
  author = {Segata, Michele and Lo Cigno, Renato and Hardes, Tobias and Heinovski, Julian and Schettler, Max and Bloessl, Bastian and Sommer, Christoph and Dressler, Falko},
  doi = {10.1109/TMC.2022.3154643},
  title = {{Multi-Technology Cooperative Driving: An Analysis Based on PLEXE}},
  journal = {IEEE Transactions on Mobile Computing (TMC)},
  issn = {1536-1233},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  year = {2022}
}