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Space for Traffic Manoeuvres: An Overview

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Symposium on Real-Time and Hybrid Systems

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11180))

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Abstract

Dense traffic on roads is calling for advanced driver assistance systems or even autonomous driving to increase the safety (collision freedom). How can we prove that such systems guarantee safety? Realising that safety on roads is a primarily spatial property, we started an approach to car safety that decomposes spatial from dynamic reasoning; it is based on a dedicated Multi-lane Spatial Logic (MLSL) [1], which abstracts from the continuous car dynamics, and controllers using MLSL formulas. The paper gives an overview of recent results in pursuing this approach.

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Acknowledgements

My interest in the safety of traffic manoeuvres arose in the Project H3 (Cooperating Traffic Agents) of the collaborative research center AVACS (Automatic Verification and Analysis of Complex Systems, 2004–2015). In particular, I thank Werner Damm, Andre Platzer, and Jan-David Quesel for inspiring discussions.

The following colleagues and students helped to shape the results on the spatial approach to traffic safety, many of them reported in this paper: Anders P. Ravn, Rafael Wisniewsky, Gregor v. Bochmann, Martin Fränzle, Michael R. Hansen, Sven Linker, Martin Hilscher, Heinrich Ody, Maike Schwammberger, Christopher Bischopink, Lasse Hammer, Christian Harken, and Sven Lampe. Many thanks to all of them!

We also thank the anonymous reviewers for their helpful comments that improved the presentation.

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  1. Department of Computing Science, University of Oldenburg, Oldenburg, Germany

    Ernst-Rüdiger Olderog

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  1. Ernst-Rüdiger Olderog
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Correspondence to Ernst-Rüdiger Olderog .

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  1. Newcastle University, Newcastle, UK

    Cliff Jones

  2. National University of Defense Technology, Changsha, China

    Ji Wang

  3. Institute of Software, CAS, Beijing, China

    Naijun Zhan

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Olderog, ER. (2018). Space for Traffic Manoeuvres: An Overview. In: Jones, C., Wang, J., Zhan, N. (eds) Symposium on Real-Time and Hybrid Systems. Lecture Notes in Computer Science(), vol 11180. Springer, Cham. https://doi.org/10.1007/978-3-030-01461-2_11

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  • DOI: https://doi.org/10.1007/978-3-030-01461-2_11

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