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Probabilistic, safety-explicit design of horizontal curves on two-lane rural highways based on reliability analysis of naturalistic driving data

机译:基于自然驾驶数据可靠性分析的两车道农村公路水平曲线的概率安全显式设计

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The high collision rates on horizontal curves compared to other roadway elements make them one of the most critical elements in a transportation network. In this regard, it is important to develop models to predict the safety performance of the horizontal curves. A considerable number of studies have been conducted to develop safety performance functions based on several concepts such as geometric characteristics, design consistency, reliability analysis, and comfort threshold. However, these models do not account for all horizontal curve design criteria or consider several cases such as driving in adverse weather conditions or on pavement of low available friction. This paper develops a probabilistic, safety explicit approach of horizontal curve design using reliability analysis of four design criteria: vehicle stability, driver comfort, sight distance, and vehicle rollover. Two situations were considered in the analysis: driving in clear weather (dry pavement) and raining weather (wet pavement) to develop safety performance functions for annual and five-year collision frequency. Four types of regression models, Poisson, negative binomial, zero-inflated Poisson, and zero-inflated negative binomial, were used in the analysis. The AIC, BIC, and Vuong test were used in evaluating the developed models.
机译:与其他道路元素相比,水平曲线上的高碰撞率使它们成为交通网络中最关键的元素之一。在这方面,重要的是要开发模型来预测水平曲线的安全性能。基于几何概念,设计一致性,可靠性分析和舒适度阈值等几个概念,已开展了大量研究来开发安全性能功能。但是,这些模型并未考虑所有水平曲线设计标准,也没有考虑几种情况,例如在恶劣天气条件下行驶或在可用摩擦力较低的路面上行驶。本文通过对四个设计标准的可靠性分析,开发出一种概率安全的显式水平曲线设计方法:车辆稳定性,驾驶员舒适度,视距和车辆侧翻。分析中考虑了两种情况:在晴朗的天气(干燥路面)和下雨的天气(湿路面)中驾驶以开发针对年度和五年碰撞频率的安全性能功能。分析中使用了四种类型的回归模型:泊松,负二项式,零膨胀泊松和零膨胀负二项式。 AIC,BIC和Vuong检验用于评估开发的模型。

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