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Using Vehicle Dynamics Simulation and Meta-models to Understand Factors and Mechanisms Affecting Roll Angle: An Initial Assessment.
| 题名： | Using Vehicle Dynamics Simulation and Meta-models to Understand Factors and Mechanisms Affecting Roll Angle: An Initial Assessment. |
| 作者： | Abu-Odeh, A.; Martinez, M. M.; Fletcher, T.; Harris, L.; Kiani, M. |
| 关键词： | Data analytics, Vehicle dynamics simulations, Vehicle rotation, Monte Carlo analyses, Rollover, Meta-models, Crash statistics |
| 摘要： | A rollover is defined as any vehicle rotation of 90 degrees or more about any true longitudinal or lateral axis, according to NASS CDS. Rollover crashes are still represented highly in terms of frequency and fatalities among other crash categories. Even though there are various vehicular technical innovations that act as a preventative or protective improvement, rollover crashes and subsequent loss of life and injuries are still highly represented in crash statistics. In 2015, rollovers represented 33 percent of occupant fatalities. Existing research on rollover as it relates to highway safety is often based on crash data analysis. Limited studies have investigated the initiating mechanisms contributing to vehicular propensity to rollover. Hence, there is a gap in knowledge to understand initiation factors that affect rollover events. Vehicle dynamics simulations (not crash data) were utilized to create several vehicle rollover crashes. Using vehicle models from the vehicle dynamics code (CarSim), several vehicle rollover crashes were created. A second aspect of this research is to develop a meta-model of vehicle roll angle as a function of initiation/influencing factors. Monte Carlo analyses was performed on the response surface generated. The surface meta-model, accuracy model, and global sensitivities were analyzed. These models showed that for both vehicles, speed had the greatest influence on the vehicle鈥檚 propensity to rollover. Encroachment angle had the second largest influence for both vehicles. |
| 报告类型： | 科技报告 |
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