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Developing Safety Metrics for Human-...

Cosmin-Spanoche, Anna Sofia.

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Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles./
Author:	Cosmin-Spanoche, Anna Sofia.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:	69 p.
Notes:	Source: Masters Abstracts International, Volume: 85-12.
Contained By:	Masters Abstracts International85-12.
Subject:	Mechanical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31331588
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. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 69 p.

Source: Masters Abstracts International, Volume: 85-12.

Thesis (M.S.)--University of California, Los Angeles, 2024.

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.

ISBN: 9798382832401Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Automated driving systems

Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.
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245 1 0 $a Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.
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300 $a 69 p.
500 $a Source: Masters Abstracts International, Volume: 85-12.
500 $a Advisor: Mosleh, Ali.
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520 $a 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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650 4 $a Automotive engineering. $3 2181195
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Transportation. $3 555912
653 $a Automated driving systems
653 $a Automated vehicles
653 $a Concurrent task analysis
653 $a Human-system interaction
653 $a Safety metrics
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690 $a 0538
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