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SVEA: an experimental testbed for evaluating V2X use-cases
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Integrated Transport Res Lab & Digital Futures, Stockholm, Sweden..ORCID iD: 0000-0001-6653-5508
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Integrated Transport Res Lab & Digital Futures, Stockholm, Sweden..
ACNR Cyber Technol, Blasieholmsgatan 2A, S-11148 Stockholm, Sweden..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Integrated Transport Res Lab & Digital Futures, Stockholm, Sweden..ORCID iD: 0000-0001-9940-5929
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2022 (English)In: 2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 3484-3489Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a hardware and software testbed designed for evaluating vehicle-to-everything (V2X) usecases. From platooning to remote driving, there are many proposals to use V2X communication to solve sustainability or safety issues in transport networks. However, researchers mostly evaluate their proposals in only simulation studies, since setting up real, full-scale field tests can often be prohibitively expensive or time-consuming. The open-sourced Small Vehicles for Autonomy (SVEA) testbed is built around a communication software stack and a 1/10th-scale automated vehicle platform suitable for both cost-effective and time-efficient experimentation with V2X use-cases. The testbed is designed to support evaluation in a wide range of conditions, such as heterogeneous networks or vehicle fleets. To illustrate the suitability of the SVEA testbed for studying V2X use-cases, we detail and implement three use-cases: platooning, adaptive speed regulation from a road-side infrastructure camera, and remote-driving by a human operator sitting in a control tower. Finally, we conclude the paper with a discussion on the use of the platform so far and future development plans.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. p. 3484-3489
Series
IEEE International Conference on Intelligent Transportation Systems-ITSC, ISSN 2153-0009
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-326412DOI: 10.1109/ITSC55140.2022.9922544ISI: 000934720603080Scopus ID: 2-s2.0-85141857350OAI: oai:DiVA.org:kth-326412DiVA, id: diva2:1754220
Conference
IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), OCT 08-12, 2022, Macau, PEOPLES R CHINA
Note

QC 20230503

Available from: 2023-05-03 Created: 2023-05-03 Last updated: 2023-05-03Bibliographically approved

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Jiang, FrankJohansson, Karl H.Mårtensson, Jonas

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