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Development of an Algorithm to Predict Pedestrian Injury Severity based on Data from the South Australian Traffic Accident Reporting System

机译:基于南澳洲交通事故报告系统的数据预测行人损伤严重程度的算法的开发

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Pedestrian crash data was extracted from the South Australian Traffic Accident Reporting System for the years 2000 to 2013. There were 5,000 crashes involving pedestrians during this period. A logistical regression model was constructed based on police reported speed and coded injury severity, to determine the effect of vehicle speed on probability of a serious or fatal pedestrian injury. In this paper we developed a base algorithm using vehicle speed to predict probability of injury. In addition to vehicle speed, a pedestrian age algorithm was also developed. The base algorithm indicates that for a pedestrian collision at a vehicle speed of 40 km/h, the probability of a serious or fatal pedestrian injury is 33.7%.
机译:2000年至2013年从南澳大利亚交通事故报告系统中提取了行人崩溃数据。此期间有5,000次崩溃涉及行人。基于警察报告的速度和编码伤害严重程度构建了物流回归模型,以确定车辆速度对严重或致命行程损伤概率的影响。在本文中,我们开发了一种使用车速来预测损伤概率的基础算法。除了车辆速度之外,还开发了行人年龄算法。基本算法表明,对于40 km / h的行人碰撞,严重或致命行程损伤的可能性是33.7%。

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