作者：
Wang, Song;Li, Zhixia;Wang, Yi;Zhao, Wenjing;Wei, Heng
通讯作者：
Zhixia Li
作者机构：
School of Traffic and Transportation Engineering, Chongqing Jiaotong University, Chongqing, 400074, China
Department of Civil and Architectural Engineering and Construction Management, University of Cincinnati, Cincinnati OH, 40221, USA
Department of Communication, University of Louisville, Louisville, KY, 40292, USA
Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China
通讯机构：
Department of Civil and Architectural Engineering and Construction Management, University of Cincinnati, Cincinnati OH, 40221, USA
语种：
英文
关键词：
Automated vehicle;Human factors;Machine errors;Safety performance
期刊：
Accident analysis and prevention
ISSN：
0001-4575
年：
2024
卷：
199
页码：
107523
基金类别：
CRediT authorship contribution statement Song Wang: Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. Zhixia Li: Conceptualization, Formal analysis, acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing. Yi Wang: Conceptualization, Investigation, Methodology, Resources, Writing – review & editing. Wenjing Zhao: Conceptualization, Visualization
摘要：
The assumption of reduced human error-related crashes with increasing levels of automation in pursuing Level 5 automation lacks empirical evidence. As automation levels rise, human error-induced safety hazards are anticipated to decrease, while machine error-induced hazards will increase. However, a quantitative index capturing this tradeoff is absent. Additionally, theoretical modeling of safety improvements during the transition to automated driving remains unexplored, particularly concerning reducing human error-related hazards. These limitations impede the understanding of safety from human and machine perspectives for Automated Vehicle (AV) specialists and manufactur...
