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Integration of Active and Passive Safety Technologies - A Method to Study and Estimate Field Capability

机译:积极和被动安全技术的整合 - 一种研究和估算现场能力的方法

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The objective of this study is to develop a method that uses a combination of field data analysis, naturalistic driving data analysis, and computational simulations to explore the potential injury reduction capabilities of integrating passive and active safety systems in frontal impact conditions. For the purposes of this study, the active safety system is actually a driver assist (DA) feature that has the potential to reduce delta-V prior to a crash, in frontal or other crash scenarios. A field data analysis was first conducted to estimate the delta-V distribution change based on an assumption of 20% crash avoidance resulting from a pre-crash braking DA feature. Analysis of changes in driver head location during 470 hard braking events in a naturalistic driving study found that drivers' head positions were mostly in the center position before the braking onset, while the percentage of time drivers leaning forward or backward increased significantly after the braking onset. Parametric studies with a total of 4800 MADYMO simulations showed that both delta-V and occupant pre-crash posture had pronounced effects on occupant injury risks and on the optimal restraint designs. By combining the results for the delta-V and head position distribution changes, a weighted average of injury risk reduction of 17% and 48% was predicted by the 50th percentile Anthropomorphic Test Device (ATD) model and human body model, respectively, with the assumption that the restraint system can adapt to the specific delta-V and pre-crash posture. This study demonstrated the potential for further reducing occupant injury risk in frontal crashes by the integration of a passive safety system with a DA feature. Future analyses considering more vehicle models, various crash conditions, and variations of occupant characteristics, such as age, gender, weight, and height, are necessary to further investigate the potential capability of integrating passive and DA or active safety systems.
机译:本研究的目的是开发一种方法,该方法使用现场数据分析,自然主义驾驶数据分析和计算模拟的组合来探讨整合前部冲击条件中被动和主动安全系统的潜在伤害降低功能。出于本研究的目的,主动安全系统实际上是一个驾驶员辅助(DA)功能,其具有在崩溃之前减少Delta-V,前面或其他碰撞方案。首先进行现场数据分析以基于预防碰撞制动DA特征的20%碰撞避免的假设来估计Delta-V分布变化。在一个自然驾驶研究中470个硬制动事件期间驾驶员头部位置变化的分析发现,驱动器的头部位置大多在制动发作前的中心位置,而在制动发作后向前或向后的时间驾驶员的百分比显着增加。共有4800名MADYMO模拟的参数研究表明,DELTA-V和乘员的崩溃姿势都对乘员伤害风险和最佳克制设计产生了显着影响。通过组合Δ-V和头部位置分布变化的结果,第50百分位拟人的拟人拟人测试装置(ATD)模型和人体模型分别预测了17%和48%的伤害风险减少的加权平均值。假设约束系统可以适应特定的Delta-V和预碰撞姿势。本研究表明,通过集成具有DA功能的被动安全系统,通过集成了无源安全系统进一步降低了正面坠机伤害风险的可能性。未来分析考虑更多车辆模型,各种碰撞条件和乘员特性的变化,例如年龄,性别,重量和高度,是进一步研究集成被动和DA或主动安全系统的潜在能力。

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