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題名 自動駕駛車決策品質研究
An investigation of decision-making quality in autonomous vehicle
作者 吳君怡
Wu, Junyi
貢獻者 尚孝純<br>杜雨儒
Shang, Shiaw-Chun<br>Tu, Yu-Ju
吳君怡
Wu, Junyi
關鍵詞 自動駕駛車
自主決策
人工智慧應用
Autonomous vehicle
autonomous decision-making
AI-enabled applications
日期 2021
上傳時間 2-Mar-2021 14:18:56 (UTC+8)
摘要 人工智慧科技應用迅速發展，自動駕駛開發團隊設法讓自動駕駛車運用新興科技來理解路況、進行決策，進而開車上路。本研究以決策角度切入自動駕駛系統的開發與人工智慧的能耐，嘗試從邏輯建置、需求偏好、學習機制三種觀點來探討此新興科技應用的發展。為了解影響自動駕駛車決策品質的因素，本研究融合電腦科學、資訊科技、決策管理、組織學習等跨領域的知識作為基礎，挖掘與思考其中所蘊含的意義。本研究從自動駕駛系統發展脈絡整理出跨年代的研究資料素材，建立一套自動駕駛系統決策機制來達成車輛安全、使用滿意、永續發展三大議題，並且提出學術研究相關命題，作為實務上提升自動駕駛系統決策品質之參考。
The autonomous vehicle is a challenging and interesting artificial intelligence (AI) enabled technological application. With the convergence of multidisciplinary technologies such as sensors, computing, programming, networking, and machine learning, vehicles are trying to comprehend road conditions and make driving decisions. Regarding autonomous vehicles’ operation as a decision-making process, this research sets three primary objectives to promise a safe, comfortable, and sustainable autonomous vehicle. With news reports and multiple research materials, this research proposes a grounded theory of the autonomous vehicles’ decision-making mechanism that addresses three objectives, i.e., vehicle safety, user satisfaction, and sustainability. The research findings built a model for the autonomous vehicles’ decision-making mechanism and provide academic contributions and practical insight regarding the autonomous vehicles’ decision-making quality.
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描述 博士
國立政治大學
資訊管理學系
99356506
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0099356506
資料類型 thesis
dc.contributor.advisor 尚孝純<br>杜雨儒zh_TW
dc.contributor.advisor Shang, Shiaw-Chun<br>Tu, Yu-Juen_US
dc.contributor.author (Authors) 吳君怡zh_TW
dc.contributor.author (Authors) Wu, Junyien_US
dc.creator (作者) 吳君怡zh_TW
dc.creator (作者) Wu, Junyien_US
dc.date (日期) 2021en_US
dc.date.accessioned 2-Mar-2021 14:18:56 (UTC+8)-
dc.date.available 2-Mar-2021 14:18:56 (UTC+8)-
dc.date.issued (上傳時間) 2-Mar-2021 14:18:56 (UTC+8)-
dc.identifier (Other Identifiers) G0099356506en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/134020-
dc.description (描述) 博士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理學系zh_TW
dc.description (描述) 99356506zh_TW
dc.description.abstract (摘要) 人工智慧科技應用迅速發展，自動駕駛開發團隊設法讓自動駕駛車運用新興科技來理解路況、進行決策，進而開車上路。本研究以決策角度切入自動駕駛系統的開發與人工智慧的能耐，嘗試從邏輯建置、需求偏好、學習機制三種觀點來探討此新興科技應用的發展。為了解影響自動駕駛車決策品質的因素，本研究融合電腦科學、資訊科技、決策管理、組織學習等跨領域的知識作為基礎，挖掘與思考其中所蘊含的意義。本研究從自動駕駛系統發展脈絡整理出跨年代的研究資料素材，建立一套自動駕駛系統決策機制來達成車輛安全、使用滿意、永續發展三大議題，並且提出學術研究相關命題，作為實務上提升自動駕駛系統決策品質之參考。zh_TW
dc.description.abstract (摘要) The autonomous vehicle is a challenging and interesting artificial intelligence (AI) enabled technological application. With the convergence of multidisciplinary technologies such as sensors, computing, programming, networking, and machine learning, vehicles are trying to comprehend road conditions and make driving decisions. Regarding autonomous vehicles’ operation as a decision-making process, this research sets three primary objectives to promise a safe, comfortable, and sustainable autonomous vehicle. With news reports and multiple research materials, this research proposes a grounded theory of the autonomous vehicles’ decision-making mechanism that addresses three objectives, i.e., vehicle safety, user satisfaction, and sustainability. The research findings built a model for the autonomous vehicles’ decision-making mechanism and provide academic contributions and practical insight regarding the autonomous vehicles’ decision-making quality.en_US
dc.description.tableofcontents 1. INTRODUCTION 1
1.1. RESEARCH BACKGROUND AND MOTIVATION 1
1.2. RESEARCH QUESTION AND OBJECTIVES 8
1.3. RESEARCH PROCEDURE 9
1.4. RESEARCH CONTRIBUTION 10
2. THEORETICAL BACKGROUND 13
2.1. AUTONOMOUS VEHICLES 13
2.2. ARTIFICIAL INTELLIGENCE 17
2.3. DECISION MAKING 21
2.4. SAFETY 31
2.5. SATISFACTION 34
2.6. SUSTAINABILITY 40
3. METHODOLOGY 48
3.1. SCOPE SETTING 50
3.2. DATA SAMPLING 52
3.3. DATA COLLECTING AND CODING 54
3.4. QUALITY CRITERIA 60
4. DATA ANALYSIS 66
4.1. LOGISTICAL PERSPECTIVE 66
4.2. PREFERENCE PERSPECTIVE 86
4.3. LEARNING PERSPECTIVE 101
5. MODEL 123
6. DISCUSSION 125
7. CONCLUSION 128
REFERENCE 129
APPENDIX Ⅰ. BEHAVIROAL THEORY 142
APPENDIX Ⅱ. USERS’ EXPECTATIONS FOR AUTONOMOUS VEHICLE 147
APPENDIX Ⅲ. THE SURVEY OF POTENTIAL AUTONOMOUS VEHICLE USERS 151
APPENDIX Ⅳ. RESEARCH DATA 153		zh_TW
dc.format.extent 6458227 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0099356506en_US
dc.subject (關鍵詞) 自動駕駛車zh_TW
dc.subject (關鍵詞) 自主決策zh_TW
dc.subject (關鍵詞) 人工智慧應用zh_TW
dc.subject (關鍵詞) Autonomous vehicleen_US
dc.subject (關鍵詞) autonomous decision-makingen_US
dc.subject (關鍵詞) AI-enabled applicationsen_US
dc.title (題名) 自動駕駛車決策品質研究zh_TW
dc.title (題名) An investigation of decision-making quality in autonomous vehicleen_US
dc.type (資料類型) thesisen_US
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dc.identifier.doi (DOI) 10.6814/NCCU202100357en_US