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Critical analysis of prototype autonomous vehicle crash rates = six scientific studies from 2015-2018 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Critical analysis of prototype autonomous vehicle crash rates / Richard A. Young (Driving Safety Consulting, LLC).
其他題名:	six scientific studies from 2015-2018 /
作者:	Young, Richard A.,
面頁冊數:	1 online resource (1 PDF (xxiii, 226 pages)) :color illustrations :
標題:	Road and motor vehicles: general interest. -
ISBN:	9781468603422

Critical analysis of prototype autonomous vehicle crash rates = six scientific studies from 2015-2018 /
Young, Richard A.,active 2021,

Critical analysis of prototype autonomous vehicle crash rates six scientific studies from 2015-2018 /[electronic resource] :Richard A. Young (Driving Safety Consulting, LLC). - 1 online resource (1 PDF (xxiii, 226 pages)) :color illustrations

Includes bibliographical references (pages 213-217) and index.

Introduction -- Methods -- The first major AV safety study: Schoettle and Sivak (2015) -- Google AV crash data versus naturalistic crash data: Blanco et al. (2016) -- Crash selection bias and site selection bias: Dixit et al. (2016) -- Crash selection biases and site selection biases: Teoh and Kidd (2017) -- Heterogeneity and crash selection bias: Favarò et al. (2017) -- Crash selection bias and site selection bias: Banerjee et al. (2018) -- Overall summary of AV IRR estimates and issues -- Overall discussion -- Overall conclusions -- Specific recommendations -- Appendix A: AV hopes and modeling studies -- Appendix B: Abbreviations and definitions -- Appendix C: Transition crashes: descriptions and comments -- Appendix D: Should crash reports by AV companies be accepted at face value? -- Appendix E: Why unreported and unrecorded CV crashes? -- Appendix F: Are AVs or human drivers at fault in a crash? -- Appendix G: Crash severity definitions in naturalistic driving studies -- Appendix H: Standardization method -- Appendix I: Replication of Teoh and Kidd (2017) phase 1 CV crash results (Table 12, Note f) -- Appendix J: Crash reduction: AVs versus crash avoidance technologies -- Appendix K: Site selection bias: site differences in CV crash rates -- Appendix L: Summary of issues -- Appendix M: Do ADS neural networks have negative learning? -- Appendix N: PR crash selection bias -- Appendix: Bibliography -- Epilogue -- About the Author -- Index.

Will Automated Vehicles be Safer than Conventional Vehicles? One of the critically important questions that has emerged about advanced technologies in transportation is how to test the actual effects of these advanced systems on safety, particularly how to evaluate the safety of highly automated driving systems. Richard Young's Critical Analysis of Prototype Autonomous Vehicle Crash Rates does a deep dive into these questions by reviewing and then critically analyzing the first six scientific studies of AV crash rates.

ISBN: 9781468603422

Standard No.: 10.4271/9781468603422doiSubjects--Topical Terms:

1484203
Road and motor vehicles: general interest.

LC Class. No.: TL152.8 / .Y68 2021

Critical analysis of prototype autonomous vehicle crash rates = six scientific studies from 2015-2018 /
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