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Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles./
作者:
Cosmin-Spanoche, Anna Sofia.
面頁冊數:
1 online resource (69 pages)
附註:
Source: Masters Abstracts International, Volume: 85-12.
Contained By:
Masters Abstracts International85-12.
標題:
Mechanical engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9798382832401
Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.
Cosmin-Spanoche, Anna Sofia.
Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.
- 1 online resource (69 pages)
Source: Masters Abstracts International, Volume: 85-12.
Thesis (M.S.)--University of California, Los Angeles, 2024.
Includes bibliographical references
Incorporating automated driving technologies in commercial heavy-duty operations aims to increase traffic efficiency and safety. However, developers, fleet operators, and regulators must address the unique safety risks that Automated Driving System (ADS) technology introduce. Potential Heavy-Duty Automated Vehicle (HD-AV) fleet operations envision a team of human and machine agents, including the ADS, an onboard safety driver, a fleet operations center, and, in some cases, an onboard safety operator. The complex interactions between these human and machine agents must be addressed when determining the system's safety requirements and design. Safety metrics usually focus on ADS performance, but to adequately inform system design and safety requirements, these metrics must also focus on human-system interactions. This work proposes a system model-based approach to develop human-system interaction metrics focusing on hardware, software, and human impacts on the operational safety of automated driving system fleets.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798382832401Subjects--Topical Terms:
557493
Mechanical engineering.
Subjects--Index Terms:
Automated driving systemsIndex Terms--Genre/Form:
554714
Electronic books.
Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.
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Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.
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Source: Masters Abstracts International, Volume: 85-12.
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Includes bibliographical references
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Incorporating automated driving technologies in commercial heavy-duty operations aims to increase traffic efficiency and safety. However, developers, fleet operators, and regulators must address the unique safety risks that Automated Driving System (ADS) technology introduce. Potential Heavy-Duty Automated Vehicle (HD-AV) fleet operations envision a team of human and machine agents, including the ADS, an onboard safety driver, a fleet operations center, and, in some cases, an onboard safety operator. The complex interactions between these human and machine agents must be addressed when determining the system's safety requirements and design. Safety metrics usually focus on ADS performance, but to adequately inform system design and safety requirements, these metrics must also focus on human-system interactions. This work proposes a system model-based approach to develop human-system interaction metrics focusing on hardware, software, and human impacts on the operational safety of automated driving system fleets.
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