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Cooperative Vehicles versus Non-Cooperative Traffic Light: Safe and Efficient Passing
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-9738-4148
Lund University, Lund, Sweden.
Halmstad University, School of Information Technology.ORCID iD: 0000-0001-8587-2251
Halmstad University, School of Information Technology.
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2023 (English)In: Computers, E-ISSN 2073-431X, Vol. 12, no 8, article id 154Article in journal (Refereed) Published
Abstract [en]

Connected and automated vehicles (CAVs) will be a key component of future cooperative intelligent transportation systems (C-ITS). Since the adoption of C-ITS is not foreseen to happen instantly, not all of its elements are going to be connected at the early deployment stages. We consider a scenario where vehicles approaching a traffic light are connected to each other, but the traffic light itself is not cooperative. Information about indented trajectories such as decisions on how and when to accelerate, decelerate and stop, is communicated among the vehicles involved. We provide an optimization-based procedure for efficient and safe passing of traffic lights (or other temporary road blockage) using vehicle-to-vehicle communication (V2V). We locally optimize objectives that promote efficiency such as less deceleration and larger minimum velocity, while maintaining safety in terms of no collisions. The procedure is computationally efficient as it mainly involves a gradient decent algorithm for one single parameter. © 2023 by the authors.

Place, publisher, year, edition, pages
Basel, 2023. Vol. 12, no 8, article id 154
Keywords [en]
C-ITS, connected vehicles, cooperative driving, CV2X, optimization, road safety, traffic light controller, vehicular networking
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:hh:diva-51619DOI: 10.3390/computers12080154ISI: 001055707800001Scopus ID: 2-s2.0-85169007469OAI: oai:DiVA.org:hh-51619DiVA, id: diva2:1811491
Funder
Knowledge FoundationELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Note

This work was supported by the Swedish Knowledge Foundation (KKS) "Safety of Connected Intelligent Vehicles in Smart Cities-SafeSmart" project (2019-2024), the ELLIIT Strategic Research Network and the Helmholtz Program "Engineering Digital Futures".

Available from: 2023-11-13 Created: 2023-11-13 Last updated: 2023-11-13Bibliographically approved

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Thunberg, JohanSidorenko, GalinaValle, FelipeVinel, Alexey

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