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首页> 外文期刊>The Arabian Journal for Science and Engineering. Section B, Engineering >DEVELOPMENT OF MODELS FOR PREDICTING SPEED ON HORIZONTAL CURVES FOR TWO-LANE RURAL HIGHWAYS
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DEVELOPMENT OF MODELS FOR PREDICTING SPEED ON HORIZONTAL CURVES FOR TWO-LANE RURAL HIGHWAYS

机译:两车道农村公路水平曲线速度预测模型的开发

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摘要

A variety of physical factors may influence speeds on two-lane highways. Horizontal curvature has the greatest impact on speed. The objective of this study was to develbp curve-speed prediction equations using data collected at 28 sites in northern Iraq. Four equations that include the effect of curve radius and grade on the predicted 85th percentile curve speed were developed and subsequently validated using observed values from another 20 sites. The speed of more than 7000 passenger cars was measured during the study. A series of regression models were developed. The main independent variables chosen for use in the regression analyses were radius of the curve and approach speed. The speed prediction equations performed well, in that the mean absolute percent error ranged between 7 and 9 percent and there was an overall mean absolute percent error of 8 percent. Box plots were developed to demonstrate graphically the range of error between the predicted speeds and the field measurements.
机译:各种物理因素可能会影响两车道高速公路上的速度。水平曲率对速度的影响最大。这项研究的目的是使用在伊拉克北部28个站点收集的数据来开发曲线速度预测方程。开发了四个方程,包括曲线半径和坡度对预测的第85个百分位数曲线速度的影响,随后使用来自其他20个站点的观测值进行了验证。在研究期间,测量了7000多辆乘用车的速度。开发了一系列回归模型。选择用于回归分析的主要自变量是曲线的半径和逼近速度。速度预测方程式表现良好,因为平均绝对百分比误差在7%到9%之间,并且总体平均绝对百分比误差为8%。开发箱形图以图形方式显示预测速度和现场测量值之间的误差范围。

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