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Exploration of the Relationships between Operating Speed and Roadway Features on Tangent Sections

机译:切线段运行速度与巷道特征关系的探讨

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摘要

The transportation profession is seeking to better understand the features that influence roadway speeds. Engineers need an appreciation of which roadway design features, or the values for the features, clearly relate to the speed performance on a facility. This study utilized free-flow speed data collected at 79 tangent sites in suburban/urban and rural areas in seven cities located in six states. Key variables used to select sites included functional classification (arterial, collector, and local), edge treatment (curb and gutter versus shoulder), and speed limit. Technicians collected speed data at the midpoint of long straight sections during daylight conditions. For each site, roadway and roadside characteristics were collected such as number of access points within the study section, roadside development type, lane width, and others. Statistical testing revealed that posted speed limit was the only statistically significant variable at a 5% alpha level. Access density was next with an approximate 20% alpha level. Several variables other than posted speed limit and access density showed signs of influence on the 85th percentile free-flow operating speed, including: median type, parking along the street, and pedestrian activity level. A followup cluster analysis revealed the following noteworthy features: pedestrian activity, parking, centerline, median treatment, roadside development, area type, and signal density.
机译:运输行业正在寻求更好地理解影响道路速度的特征。工程师需要了解哪些巷道设计特征或这些特征的值显然与设施的速度性能有关。这项研究利用在六个州的七个城市的郊区/城市和农村地区的79个切线点收集的自由流动速度数据。用于选择站点的关键变量包括功能分类(动脉,收集器和局部),边缘处理(路缘和檐沟与路肩)和速度限制。技术人员在日光条件下在长直段的中点收集速度数据。对于每个站点,都会收集道路和路边特征,例如研究区域内的访问点数量,路边发展类型,车道宽度等。统计测试显示,张贴速度限制是5%alpha水平上的唯一具有统计意义的变量。访问密度紧随其后的是大约20%的alpha水平。除公布的速度限制和交通密度以外,其他变量也显示出对第85个百分位自由流运行速度的影响的迹象,包括:中位类型,沿街停车和行人活动水平。后续聚类分析显示了以下值得注意的特征:行人活动,停车,中心线,中位数处理,路边发展,区域类型和信号密度。

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