Critical analysis of prototype autonomous vehicle crash rates : six scientific studies from 2015-2018 / Richard A. Young (Driving Safety Consulting, LLC).

Format:

Book

Author/Creator:

Young, Richard A., active 2021, author.

Contributor:

SAE International (Society), publisher.

Language:

English

Subjects (All):

Automated vehicles--Evaluation.

Automated vehicles.

Traffic accidents--Research.

Traffic accidents.

Physical Description:

1 online resource (1 PDF (xxiii, 226 pages)) : color illustrations

Edition:

1st ed.

Place of Publication:

Warrendale, Pennsylvania : SAE International, 2021.

Summary:

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.

Contents:

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.

Notes:

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

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Young, Richard Critical Analysis of Prototype Autonomous Vehicle Crash Rates

ISBN:

9781468603439

1468603434

9781468603422

1468603426

OCLC:

1289367499