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Run-off-Road Accident Prediction Model for Two-Lane Highway

机译:两车道公路小径事故预测模型

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摘要

A brief literature review on run-off-road (ROR) accident prediction model was made. Road geometry, traffic volume, accidents, roadside hardware and features data of 31 rural two-lane highways (total 740 kilometers) were collected to develop ROR accident prediction models. Based on four types of statistical distributions, i.e. Poisson, Negative Binomial, Zero-Inflated Poisson and Zero-Inflated Negative Binomial, ROR accident frequency, fatality and injury models were built. Elasticity analysis estimated the effects of influential factors in these models such as roadway geometry, truck traffic.
机译:对越野(ROR)事故预测模型进行了简要的文献综述。收集了31条农村两车道高速公路(总740公里)的道路几何形状,交通量,事故,路边硬件和特征数据,以开发ROR事故预测模型。基于四种类型的统计分布,即泊松,负二项式,零膨胀泊松和零膨胀负二项式,建立了ROR事故频率,死亡率和伤害模型。弹性分析估计了这些模型中影响因素的影响,例如巷道几何形状,卡车交通状况。

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