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Injury Rates for Older and Younger Belted Drivers in Traffic Accidents

机译：交通事故中老年人和腰带腰带司机的伤害率

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摘要

This paper describes the correlation of a person's age to the risk of injury occurrence and the corresponding injury severity in traffic accidents. A representative sample of belted drivers was analyzed by using data from the German In-Depth-Accident Study (GIDAS) to investigate the influence of age on injury severity and special injuries to different body regions. The study focused on two age groups: 17-30 year old (younger drivers) and older drivers 50 year old and older (50+). The injury risk was described as a function of delta-v and injury risk curves based on Abbreviated Injury Scale (AIS). Furthermore, individual parameters like age and body mass index (BMI) as well as age and mass of the vehicle were considered. The statistical analysis was carried out using descriptive and multivariate statistics. This paper presents an overview of injury patterns of belted drivers and the probability of these drivers being injured in different accident scenarios. The age-related probability for special injury patterns to different body regions was shown for younger versus older drivers. A risk score to predict the injury severity expressed in relation with AIS for different body regions was developed from the resulting statistical analysis.
机译：本文介绍了一个人的年龄与伤害发生风险以及交通事故中相应的伤害严重程度的相关性。通过使用来自德国深入的事故研究（GIDAS）的数据来分析带状驾驶员的代表性样本，以研究年龄对不同体积的损伤严重程度和特殊伤害的影响。该研究重点关注两个年龄组：17-10岁（较年轻的司机）和旧司机50岁及以上（50岁以上）。损伤风险被描述为基于缩写伤害规模（AIS）的Delta-V和伤害风险曲线的功能。此外，考虑了像年年龄和体重指数（BMI）等个性参数以及车辆的年龄和质量。使用描述性和多元统计进行统计分析。本文概述了腰带驾驶员的伤害模式，这些司机在不同意外情况下受伤的可能性。为年轻与旧的司机显示了对不同体积的特殊伤害模式的年龄相关概率。从由此产生的统计分析中，开发了预测不同体积与AIS相关的损伤严重程度的风险分数。

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