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The Effect of View, Latency, Speed and Performed Task on Remote Vehicle Operators
Swedish National Road and Transport Research Institute, Traffic and road users, Driver and vehicle.ORCID iD: 0000-0003-0644-6794
Swedish National Road and Transport Research Institute, Traffic and road users.ORCID iD: 0000-0003-2292-3722
2025 (English)In: Transport Transitions: Advancing Sustainable and Inclusive Mobility: Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland - Volume 2: Sustainable Transport Development / [ed] Ciaran McNally; Páraic Carroll; Beatriz Martinez-Pastor; Bidisha Ghosh; Marina Efthymiou; Nikolaos Valantasis-Kanellos, Springer, 2025, p. 787-794Conference paper, Published paper (Refereed)
Abstract [en]

Autonomous vehicles (AVs) are being developed as an alternative to conventional transportation, which comes with great timing as there is a global shortage of skilled commercial drivers. However, the complexity of the driving task is extremely difficult for an AI system to solve, meaning that SAE level 5 vehicles are quite far away. During this interim period where we will have public roads with mixed traffic, remote operation could be a solution for facilitating the introduction of AVs. 

As a remote operation station will be more similar to a simulator environment compared to a conventional cab, there might be a broader base for future recruitment of operators compared to drivers. This paper consists of subjective ratings from two simulator studies, comparing the performance of experienced drivers and experienced video gamers. Here we present the perceived performance and comfort of the simulator experiments, while comparing the groups in different conditions to see if one has an advantage over the other as potential employees.

Place, publisher, year, edition, pages
Springer, 2025. p. 787-794
Series
Lecture Notes in Mobility, ISSN 2196-5544, E-ISSN 2196-5552
Keywords [en]
Remote operation, Autonomous vehicles, Simulator study, Subjective data
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:vti:diva-21907DOI: 10.1007/978-3-031-85578-8_106Scopus ID: 2-s2.0-105000343755ISBN: 9783031855771 (print)ISBN: 9783031855788 (electronic)OAI: oai:DiVA.org:vti-21907DiVA, id: diva2:1950048
Conference
10th Transport Research Arena (TRA) Conference, Dublin, Ireland, April 15-18, 2024.
Available from: 2025-04-04 Created: 2025-04-04 Last updated: 2025-04-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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