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A Survey on Remote Operation of Road Vehicles
Halmstad University, School of Information Technology.ORCID iD: 0000-0003-0887-5226
Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.ORCID iD: 0000-0003-4951-5315
Halmstad University, School of Information Technology. Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.ORCID iD: 0000-0003-4894-4134
2022 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 10, p. 130135-130154Article, review/survey (Refereed) Published
Abstract [en]

In recent years, the use of remote operation has been proposed as a bridge towards driverless mobility by providing human assistance remotely when an automated driving system finds a situation that is ambiguous and requires input from a remote operator. The remote operation of road vehicles has also been proposed as a way to enable drivers to operate vehicles from safer and more comfortable locations. While commercial solutions for remote operation exist, remaining challenges are being tackled by the research community, who is continuously testing and validating the feasibility of deploying remote operation of road vehicles on public roads. These tests range from the technological scope to social aspects such as acceptability and usability that affect human performance. This survey presents a compilation of works that approach the remote operation of road vehicles. We start by describing the basic architecture of remote operation systems and classify their modes of operation depending on the level of human intervention. We use this classification to organize and present recent and relevant work on the field from industry and academia. Finally, we identify the challenges in the deployment of remote operation systems in the technological, regulatory, and commercial scopes.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2022. Vol. 10, p. 130135-130154
Keywords [en]
5G, automated mobility, connected vehicle, remote driving, teleoperation
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-48981DOI: 10.1109/access.2022.3229168ISI: 000902004300001Scopus ID: 2-s2.0-85144797263OAI: oai:DiVA.org:hh-48981DiVA, id: diva2:1721125
Projects
Safety of Connected Intelligent Vehicles in Smart Cities–SafeSmart
Funder
Vinnova, 2020-02945Vinnova, 2019-03068Knowledge FoundationELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsAvailable from: 2022-12-21 Created: 2022-12-21 Last updated: 2023-02-01Bibliographically approved

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Amador Molina, OscarAramrattana, MaytheewatVinel, Alexey

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