首页> 外文会议>International Technical Conference on the Enhanced Safety of Vehicles >SIMILARITIES AND DIFFERENCES BETWEEN JAPAN AND THE U.S. DISTRIBUTION OF FACTORS INFLUENCING INJURIES IN FRONTAL COLLISIONS USING FIELD ACCIDENT DATA
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SIMILARITIES AND DIFFERENCES BETWEEN JAPAN AND THE U.S. DISTRIBUTION OF FACTORS INFLUENCING INJURIES IN FRONTAL COLLISIONS USING FIELD ACCIDENT DATA

机译:日本与美国之间的异同分配影响野外事故数据影响正面碰撞损伤

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Traffic accident analysis using accident database can indicate important causes and useful countermeasures. Japan has an in-depth accident investigation database: Institute for Traffic Accident Research and Data Analysis (ITARDA) Micro Data; however, the number of investigated accidents is limited. On the contrary, the National Automotive Sampling System/Crashworthiness Data System (NASS/CDS) in the U.S. is the largest and many researchers utilize it. In this study, research questions are clarified by studying similarities and differences between Japan and the U.S. distribution of factors influencing occupant injuries in frontal collisions using these databases, and presenting new utilization of the NASS/CDS for accident analysis. Accident types compared are head-on collisions and frontal single-vehicle collisions occurred in 2000-2009. Appropriate eleven variables on occupant injuries in frontal collisions are selected, and Mahalanobis distance (MD) of discriminant analysis shows the similarities for each accident database. In this analysis, the variables are classified into four groups: injury prediction factors, vehicles factors, occupant factors, and injury outcome factors; furthermore, the multidimensional distribution is compared using these groups. In results, the NASS/CDS data has similar distribution of MD to the ITARDA Micro Data in the injury prediction factors such as delta-V, seat belt use, multiple impact, occupant age etc.; however, conditions which include vehicle factor such as vehicle curb weight, and occupant factors such as occupant height have different distribution. Therefore, the NASS/CDS is useful for statistical analysis such as injury prediction for Japan; however, it cannot be utilized as it is for small vehicles crashes, or short statured occupants because of the differences in vehicle factors and occupant factors. It is necessary to consider these differences in case of using these factors. Furthermore, new weighting method for the NASS/CDS using the MD can create closer weighted database to traffic accidents in Japan. This method needs further improvements; however, it is useful in Japan for analyses using the NASS/CDS.
机译:使用事故数据库的交通事故分析可以表明重要的原因和有用的对策。日本有一个深入的事故调查数据库:交通事故研究和数据分析研究所(Itarda)微数据;但是,调查的事故的数量有限。相反,美国国民汽车采样系统/耐火材料数据系统(NASS / CDS)是最大的,许多研究人员利用它。在这项研究中,通过研究日本与美国之间的异同分配的因素分配,利用这些数据库的占用伤害的因素分配,并提出了NASS / CD的新的事故分析的新因素分配。相比之下的事故类型是2000 - 2009年发生的正面碰撞和正面单车碰撞。选择额碰撞中占用伤害的适当十一变量,判别分析的Mahalanobis距离(MD)显示了每个事故数据库的相似性。在该分析中,变量分为四组:伤害预测因素,车辆因素,乘员因素和伤害结果因素;此外,使用这些组比较多维分布。在结果中,NASS / CDS数据在损伤预测因素(如Delta-V,Seave带),多次冲击,乘员年龄等中,MD的MD分布与易伤害的微数据相似。然而,包括车辆因素的条件,例如车辆遏制重量,以及乘员身高的乘员因子具有不同的分布。因此,NASS / CD可用于统计分析,例如日本的伤害预测;然而,由于车辆因素和乘员因素的差异,它不能用于小型车辆崩溃或短耳占乘客。在使用这些因素的情况下,有必要考虑这些差异。此外,使用MD的NASS / CD的新加权方法可以将更接近的加权数据库创建给日本的流量事故。该方法需要进一步改进;然而,它在日本有用用于使用NASS / CD分析。

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