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Content Provider | IET Digital Library |
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Author | Chen, Long Luo, Yugong Napolitano, Fabrizio Stefano Zobel, Robert Li, Keqiang |
Abstract | As the delta-v-based injury models used to evaluate intelligent driving systems are always fitted with European or American crash database, they cannot achieve wide application in those countries where limited in-depth analysed crash data are recorded. An injury model which is based on easily accessible information, is urgently needed. In this study, a deformation depth based injury risk model is proposed to overcome the limitation of delta-v. First, a correlation between the vehicle deformation depth and occupant injury risk is verified from the aspects of retrospective safety assessment and stiffness cluster analysis using German in-depth accident study and national automotive sampling system–crashworthiness data system. Furthermore, injury risk-deformation functions are regressed for different stiffness clusters using the crash data. The fitting accuracy reaches 97%, higher than the existing literature. A novel safety benefit assessment simulation platform is built with the regressed injury risk model. Based on this platform, an autonomous emergency braking system is evaluated. Only 1% error of the safety benefit exists between the proposed model and the delta-v based one. |
Starting Page | 386 |
Ending Page | 393 |
Page Count | 8 |
ISSN | 1751956X |
Volume Number | 12 |
e-ISSN | 17519578 |
Issue Number | Issue 5, Jun (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/12/5 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2017.0150 |
Journal | IET Intelligent Transport Systems |
Publisher Date | 2018-01-23 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Crash Avoidance German In-depth Accident Study Intelligent Driving System Intelligent Transport System Mitigation System National Automotive Sampling System-crashworthiness Data System Retrospective Safety Assessment Safety Benefit Evaluation Sampling Method Statistics Stiffness Cluster Analysis Traffic Engineering Computing Vehicle Deformation Depth Based Injury Risk Function |
Content Type | Text |
Resource Type | Article |
Subject | Law Transportation Environmental Science Mechanical Engineering |
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