ESTIMATION OF CRASH INJURY SEVERITY REDUCTION FOR INTELLIGENT VEHICLE SAFETY SYSTEMS

ESTIMATION OF CRASH INJURY SEVERITY REDUCTION FOR INTELLIGENT VEHICLE SAFETY SYSTEMS
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智能车辆安全系统减少碰撞伤害严重程度的估计

DOI：
10.4271/2000-01-1354
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发表时间：
2000
期刊：
SAE transactions
影响因子：
--
通讯作者：
Christopher Wiacek
Christopher Wiacek
中科院分区：
--
文献类型：
--
作者：
W. Najm;M. daSilva;Christopher Wiacek

文献摘要

被引文献

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提出了一种新的方法来估计智能车辆安全系统在减少碰撞次数和碰撞相关伤害的数量和严重程度方面的安全效益。此外，还建立了追尾碰撞、变道碰撞和单车偏离碰撞的数学模型和统计数据，以支持碰撞伤害减少因子的估计。提供了美国车辆类型和重量分布的统计数据。此外，还推导了计算每次碰撞平均伤害的数学方程。最后，从1994年和1995年的碰撞数据系统碰撞数据库中获得了每位乘员的平均伤害统计数据。(A)有关摘要见ITRD E106371。
A novel methodology is presented to estimate the safety benefits of intelligent vehicle safety systems in terms of reductions in the number of collisions and the number and severity of crash-related injuries. In addition, mathematical models and statistics are provided to support the estimation of the crash injury reduction factor in rear-end, lane change, and single vehicle roadway departure collisions. Statistics on the distribution of vehicle types and weights in the United States are supplied. Moreover, mathematical equations are derived to estimate the average harm per collision. Finally, statistics on the average harm per occupant are obtained from the 1994 and 1995 Crashworthiness Data System crash databases. (A) For the covering abstract see ITRD E106371.