語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ null ]
切換:
標籤
|
MARC模式
|
ISBD
Developing Safety Metrics for Human-...
~
Cosmin-Spanoche, Anna Sofia.
FindBook
Google Book
Amazon
博客來
Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.
紀錄類型:
書目-電子資源 : 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.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:
69 p.
附註:
Source: Masters Abstracts International, Volume: 85-12.
Contained By:
Masters Abstracts International85-12.
標題:
Mechanical engineering. -
電子資源:
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.
LDR
:02219nmm a2200397 4500
001
2403401
005
20241113060917.5
006
m o d
007
cr#unu||||||||
008
251215s2024 ||||||||||||||||| ||eng d
020
$a
9798382832401
035
$a
(MiAaPQ)AAI31331588
035
$a
AAI31331588
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Cosmin-Spanoche, Anna Sofia.
$3
3773677
245
1 0
$a
Developing Safety Metrics for Human-system Interaction in Heavy-duty Automated Vehicles.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2024
300
$a
69 p.
500
$a
Source: Masters Abstracts International, Volume: 85-12.
500
$a
Advisor: Mosleh, Ali.
502
$a
Thesis (M.S.)--University of California, Los Angeles, 2024.
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.
590
$a
School code: 0031.
650
4
$a
Mechanical engineering.
$3
649730
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
690
$a
0548
690
$a
0540
690
$a
0538
690
$a
0709
710
2
$a
University of California, Los Angeles.
$b
Aerospace Engineering 0279.
$3
2092189
773
0
$t
Masters Abstracts International
$g
85-12.
790
$a
0031
791
$a
M.S.
792
$a
2024
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31331588
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9511721
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入
(1)帳號:一般為「身分證號」;外籍生或交換生則為「學號」。 (2)密碼:預設為帳號末四碼。
帳號
.
密碼
.
請在此電腦上記得個人資料
取消
忘記密碼? (請注意!您必須已在系統登記E-mail信箱方能使用。)