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Improving Road Traffic Safety and Performance–Barriers and Directions Towards Cooperative Automated Vehicles

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Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops (SAFECOMP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14182))

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Abstract

The complexity of deploying automated vehicles (AVs) has been grossly underestimated and vehicles at high levels of automated driving (SAE level 4 and above) have so far only been deployed in very limited areas. Highly automated AVs will face complex traffic, e.g., due to occlusions and unpredictable road-user behaviour, and AVs may shift the distribution of crashes. This has given rise to a renewed interest in connectivity and collaboration, with the need to monitor (emerging) behaviours and risk, and the promise to improve road traffic safety and performance by resolving the “information gap”. This motivates further investigations and research in this direction.

In this paper we set out to identify barriers and important directions towards solutions for such collaborative systems, as formed by connected automated vehicles and a supporting cyber-physical infrastructure. Drawing upon a state-of-the art assessment and interactions with experts, we conclude that the current state-of-the art is fragmented, and therefore investigate key topics related to collaboration barriers and propose research questions to address them, hoping that the provided structure can also assist in guiding future research. The topics cover, (i) the socio-technical and system of systems nature of collaborative systems, (ii) the multifaceted design space and architectures with related trade-for such systems including between safety, performance and cost, and (iii) trustworthiness issues, ranging from safety and cybersecurity to privacy and ethics.

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Acknowledgments

We acknowledge support from KTH Digital Futures (the PERCy project), and the Swedish Innovation Agency, Vinnova (the Entice project and the TECoSA centre for Trustworthy edge computing systems and applications).

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Authors and Affiliations

  1. KTH Royal Institute of Technology, 100 44, Stockholm, Sweden

    Gianfilippo Fornaro & Martin Törngren

Authors
  1. Gianfilippo Fornaro
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  2. Martin Törngren
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Correspondence to Gianfilippo Fornaro .

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Editors and Affiliations

  1. University of Toulouse, Toulouse, France

    Jérémie Guiochet

  2. Fondazione Bruno Kessler, Trento, Italy

    Stefano Tonetta

  3. Austrian Institute of Technology GmbH, Vienna, Austria

    Erwin Schoitsch

  4. LAAS-CNRS, Toulouse, France

    Matthieu Roy

  5. Thales Deutschland GmbH, Ditzingen, Germany

    Friedemann Bitsch

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Fornaro, G., Törngren, M. (2023). Improving Road Traffic Safety and Performance–Barriers and Directions Towards Cooperative Automated Vehicles. In: Guiochet, J., Tonetta, S., Schoitsch, E., Roy, M., Bitsch, F. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops. SAFECOMP 2023. Lecture Notes in Computer Science, vol 14182. Springer, Cham. https://doi.org/10.1007/978-3-031-40953-0_24

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  • DOI: https://doi.org/10.1007/978-3-031-40953-0_24

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