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Validation of WAIMSS incident duration estimation model

机译:WAIMSS事件持续时间估计模型的验证

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This paper presents an effort to validate the traffic incident duration estimation model of WAIMSS (wide area incident management support system). Duration estimation model of WAIMSS predicts the incident duration based on an estimation tree which was calibrated using incident data collected in Northern Virginia. Due to the limited sample size, a full scale test of the distribution, mean and variance of incident duration was performed only for the root node of the estimation tree, white only mean tests were executed at all other nodes whenever a data subset was available. Further studies were also conducted on the model error and tree structure issues especially related to complex incidents. The statistical analyses in general, strongly supported WAIMSS estimations of incident duration distribution, mean and variance. The error analysis provided encouraging results based on the distribution of estimation errors and estimation error percentages. A major structural deficiency of the current model was also revealed.
机译:本文提出了验证Waimss(广域事件管理支持系统)的交通事故持续时间估计模型的努力。 WAIMSS的持续时间估计模型基于估计树预测入射持续时间,这些估计树是使用北弗吉尼亚州北部收集的事件数据进行校准的。由于样本大小有限,仅针对估计树的根节点执行的分布,均值和事件持续时间的均值和差异,每当数据子集可用时,都会在所有其他节点处执行白色的均值测试。还对模型误差和树结构问题进行了进一步的研究,特别是与复杂事件相关的问题。统计分析一般来说,强烈支持的Waimss对事件持续时间分布,均值和方差的估算。错误分析基于估计误差和估计误差百分比的分布提供了令人鼓舞的结果。还揭示了目前模型的主要结构缺陷。

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