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Develop Calibration Factors for Crash Prediction Models for Rural Two-Lane Roadways in Illinois

机译:开发用于伊利诺伊州农村两车道道路碰撞预测模型的校准因子

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This paper documents the development of calibration factors for crash prediction models in the new Highway Safety Manual (HSM) for rural two-lane roadways in Illinois.The crash prediction modes (so called Safety Performance Functions (SPF)) in the HSM were developed using data from multiple states,therefore the models must be calibrated to account for local factors,such as weather,roadway conditions,and drivers' characteristics.In this study,two calibration factors were developed for two different SPFs to give a better prediction of crash frequencies on rural two lane roadways in Illinois.
机译:本文在伊利诺伊州农村两车道公路新版《公路安全手册》(HSM)中记录了碰撞预测模型校准因子的开发过程,并使用以下方法开发了HSM中的碰撞预测模式(即所谓的安全性能函数(SPF))。来自多个状态的数据,因此必须对模型进行校准以考虑当地因素,例如天气,道路状况和驾驶员特征。在这项研究中,针对两个不同的SPF开发了两个校准因子,以便更好地预测碰撞频率在伊利诺伊州的农村两车道巷道上。

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