A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport. Kettwich, C., Schrank, A., Avsar, H., & Oehl, M. Applied Sciences, 12(9):4350, April, 2022. ![A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Remote operation bears the potential to roll out highly automated vehicles (AVs, SAE Level 4) more safely and quickly. Moreover, legal regulations on highly automated driving, e.g., the current law on highly automated driving (SAE Level 4) in Germany, permit a remote supervisor to monitor and intervene in driving operations remotely in lieu of a safety operator on board AVs. In order to derive requirements for safe and effective remote driving and remote assistance of AVs and to create suitable human-centered design solutions for human-machine interfaces (HMIs) that serve this purpose, a set of 74 core scenarios that are likely to occur in public transport AVs under remote operation was compiled. The scenarios were collected in several projects on the remote operation of AVs across a variety of contexts including interviews with and observations of control center staff, video analyses from naturalistic road events, and interviews with safety operators of AVs. A hierarchical system that is based on interactions of central actors was used to structure the scenarios. The set explicates relevant cases in remote operation, which may help improve workplaces for remote operation both by combatting human factors issues such as distraction and fatigue, and by boosting usability, user experience, trust, and acceptance. As the catalogue of scenarios is not exhaustive, scenarios may be added as knowledge of the remote operation of AVs progresses. Further research is needed to validate and adapt the scenarios to specific conceptualizations of remote operations.
@article{kettwich_helping_2022,
title = {A {Helping} {Human} {Hand}: {Relevant} {Scenarios} for the {Remote} {Operation} of {Highly} {Automated} {Vehicles} in {Public} {Transport}},
volume = {12},
issn = {2076-3417},
shorttitle = {🔤 帮助人类的手：公共交通中高度自动化车辆远程操作的相关场景},
url = {https://www.mdpi.com/2076-3417/12/9/4350},
doi = {10.3390/app12094350},
abstract = {Remote operation bears the potential to roll out highly automated vehicles (AVs, SAE Level 4) more safely and quickly. Moreover, legal regulations on highly automated driving, e.g., the current law on highly automated driving (SAE Level 4) in Germany, permit a remote supervisor to monitor and intervene in driving operations remotely in lieu of a safety operator on board AVs. In order to derive requirements for safe and effective remote driving and remote assistance of AVs and to create suitable human-centered design solutions for human-machine interfaces (HMIs) that serve this purpose, a set of 74 core scenarios that are likely to occur in public transport AVs under remote operation was compiled. The scenarios were collected in several projects on the remote operation of AVs across a variety of contexts including interviews with and observations of control center staff, video analyses from naturalistic road events, and interviews with safety operators of AVs. A hierarchical system that is based on interactions of central actors was used to structure the scenarios. The set explicates relevant cases in remote operation, which may help improve workplaces for remote operation both by combatting human factors issues such as distraction and fatigue, and by boosting usability, user experience, trust, and acceptance. As the catalogue of scenarios is not exhaustive, scenarios may be added as knowledge of the remote operation of AVs progresses. Further research is needed to validate and adapt the scenarios to specific conceptualizations of remote operations.},
language = {en},
number = {9},
urldate = {2022-10-10},
journal = {Applied Sciences},
author = {Kettwich, Carmen and Schrank, Andreas and Avsar, Hüseyin and Oehl, Michael},
month = apr,
year = {2022},
keywords = {/reading},
pages = {4350},
}
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