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Calibrating the Highway Safety Manual Predictive Models for Oregon State Highways

机译:校准俄勒冈州立高速公路的公路安全手册预测模型

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The recently released Highway Safety Manual (HSM), published by the American Association ofState Highway and Transportation Officials (AASHTO), provides a comprehensive set of toolsfor evaluating and identifying opportunities to improve safety for highway facilities. Included inthe HSM is a quantitative method for predicting crashes based on recently developed scientificapproaches. These predictive methods currently exist for three specific facility types: rural twolaneroads; rural multilane highways; and urban and suburban arterial highways. To enhanceprecision, each HSM predictive method should be calibrated for location conditions. This paperdemonstrates the HSM calibration procedure for total crashes in Oregon. The research identifiedthree critical data collection issues including information about pedestrian volumes, minor roadtraffic volumes at rural locations, and minimum sample size for under-represented crashlocations. The authors also determined that most of the calibration factors for Oregon areconsiderably lower than expected values of approximately one and attributed this observation toOregon crash reporting thresholds and procedures. The paper also includes an evaluation of crashseverity distribution methods as well as assesses the significance of collision type distributionson the overall predicted crashes.
机译:最近发布的《高速公路安全手册》(HSM),由美国汽车协会发布 州公路和运输官员(AASHTO)提供了一套全面的工具 评估和确定改善高速公路设施安全性的机会。包括在 HSM是一种基于最新开发的科学方法来预测碰撞的定量方法 方法。目前针对三种特定的设施类型存在这些预测方法:农村双向车道 道路农村多车道公路;以及城市和郊区的干线公路。加强 精度,每种HSM预测方法都应针对位置条件进行校准。这篇报告 演示了俄勒冈州全部事故的HSM校准程序。研究确定 三个关键的数据收集问题,包括有关行人流量,小路的信息 农村地区的流量,以及代表性不足的崩溃的最小样本量 位置。作者还确定,俄勒冈州的大多数校准因子是 大大低于大约1的预期值,并将此观察结果归因于 俄勒冈州崩溃报告的阈值和程序。本文还包括对崩溃的评估 严重性分布方法以及评估碰撞类型分布的重要性 总体预测的崩溃。

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