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Collision-Aware Communication for Intersection Management of Automated Vehicles
RISE - Research Institutes of Sweden, Safety and Transport, Measurement Science and Technology.ORCID iD: 0000-0002-1210-1680
Chalmers University of Technology, Sweden.
Ericsson Research, Sweden.
University of Borås, Sweden.
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2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 77359-77371Article in journal (Refereed) Published
Abstract [en]

Intersection management of automated vehicles relies on wireless communication, whereby communication resources should be allocated to vehicles while maintaining safety. We present a collision-aware resource allocation (CARA) strategy for coordination of automated and connected vehicles by a centralized intersection manager. The proposed strategy is based on a self-triggered approach and proactively reduces the risk of channel congestion by only assigning communication resources to vehicles that are in critical configurations, i.e., when there is a risk for a future collision. Compared with collision-agnostic communication strategies, typically considered for automated intersection management, the CARA strategy aims to bridge the gap between control, sensing, and communication. It is shown to significantly reduce the required amount of communication (albeit with a slight increase in the control cost), without compromising safety. Furthermore, control cost can be reduced by allowing more frequent communication, which we demonstrate through a trade-off analysis between control performance and communication load. Hence, CARA can operate in communication-limited scenarios, but also be modified for scenarios where the control cost is of primary interest.

Place, publisher, year, edition, pages
2018. Vol. 6, p. 77359-77371
Keywords [en]
Resource management, Safety, Uncertainty, Roads, Wireless communication, Schedules, Stochastic processes, Intelligent transportation systems, cooperative intersection management, cooperative driving, automated vehicles, vehicular communication, resource allocation, collision avoidance
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-36989DOI: 10.1109/ACCESS.2018.2882607Scopus ID: 2-s2.0-85057163162OAI: oai:DiVA.org:ri-36989DiVA, id: diva2:1276474
Available from: 2019-01-08 Created: 2019-01-08 Last updated: 2019-06-18Bibliographically approved

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Steinmetz, Erik

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CiteExportLink to record
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  • apa
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  • de-DE
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  • en-US
  • fi-FI
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  • sv-SE
  • Other locale
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Output format
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