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Roles in the remote operation of highly automated vehicles

Kettwich, Carmen and Schrank, Andreas Gottfried and Oehl, Michael (2022) Roles in the remote operation of highly automated vehicles. 7th International Conference on Traffic and Transport Psychology (ICTTP), 2022-08-23 - 2022-08-25, Gothenburg, Sweden.

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Background: Remote operation is a promising approach to bridge the gap between today's technological shortcomings and the efficient use of highly automated vehicles (HAVs) at Level 4 (SAE, 2021). This technology enables HAVs to be remotely operated if necessary, e.g., from a Remote Operation Center (ROC) through Remote Driving or Remote Assistance. The ROC will be responsible both for monitoring AV operations overall as well as troubleshooting incidents. A role model for the ROC with distinct tasks for each role requiring different qualifications and skills is presented. Method: The presented role model is based on a systematic analysis of tasks within a control center of public transport, scenarios and human-machine interaction strategies for HAVs in public transportation, as well as the collection and systematic classification of use cases and scenarios in remote operation. Considering various human factors requirements, e.g., vigilance, situation awareness, and task load, a separate human-machine interface (HMI) incorporating the respective requirements, tasks and responsibilities must be designed for each role and its corresponding workplace. Results: In a ROC, there can be the following central roles conceptualized: the Remote Coordinator (RC) manages the ROC on the top-level and provides Remote Assistance, several Remote Driving Operators (RDOs) execute remote driving tasks and at least one Remote System Operator (RSO) maintains the operation of the HAV fleet at a systemic level. The RC's primary task is to ensure that all incidents are noticed, addressed, resolved, and documented. Furthermore, the RC assigns remote driving tasks to the RDOs. The RSO's responsibilities are comprised of configuring the automation software for all system components, re-analyzing video images, categorizing unclassified objects, and assisting the RC in incident analysis. Conclusion: The role model presented is a first conceptual step to spark a debate on how the work of future remote operators and their workplaces can be designed from a human factors perspective. Further research on tasks executed and skills required in the ROC needs to be conducted. References SAE (2021). Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (SAE J 3016-202104). Washington, D.C. SAE. https://www.sae.org/standards/content/j3016_202104

Item URL in elib:https://elib.dlr.de/188056/
Document Type:Conference or Workshop Item (Poster)
Title:Roles in the remote operation of highly automated vehicles
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kettwich, CarmenUNSPECIFIEDhttps://orcid.org/0000-0001-6814-7058UNSPECIFIED
Schrank, Andreas GottfriedUNSPECIFIEDhttps://orcid.org/0000-0001-8352-1052UNSPECIFIED
Oehl, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-0871-2286UNSPECIFIED
Date:August 2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Remote Assistance; Remote Driving; Remote Operation Center; Highly Automated Vehicles; Role Model; Human Factors
Event Title:7th International Conference on Traffic and Transport Psychology (ICTTP)
Event Location:Gothenburg, Sweden
Event Type:international Conference
Event Start Date:23 August 2022
Event End Date:25 August 2022
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Energie und Verkehr (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Cooperative Systems, BS
Deposited By: Schrank, Andreas Gottfried
Deposited On:09 Sep 2022 14:40
Last Modified:31 May 2024 10:59

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