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Impact of Adverse Weather on Freeway Bottleneck Performance

机译:恶劣天气对高速公路瓶颈性能的影响

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Congestion on freeways occurs when demand exceeds the available capacity. Common causes of recurring congestion, also known as freeway bottlenecks, include lane drops, on-ramp merges, and weaving sections. Adverse weather can reduce the maximum queue discharge flow, but this effect has not been systematically investigated. This research examined the relationship between discharge flow and weather characteristics including rainfall intensity, wind speed, and visibility. Queue discharge rates at four isolated merge bottlenecks were measured using an established methodology of cumulative count and occupancy curves. An analysis of discharge variation by rainfall intensity revealed reduced discharge ranging from 5% in drizzle (rainfall <0 in./h) to 27% in heavy rainfall [rainfall >2.54mm/h (>0.1 in./h)]. However, rain intensity accounts for only a portion of the variability in discharge flow. Two hypotheses were tested using the additional variables of wind speed and visibility as well as dividing the periods of discharge flow into multiple groupings. Analyses based on these hypotheses described the variation in queue discharge flow better than the analysis with a single independent variable. This research showed that weather characteristics are an important predictor of bottleneck queue discharge rates. DOI: 10.1061/JTEPBS.0000434. © 2020 American Society of Civil Engineers.
机译:当需求超过可用容量时,在高速公路上发生拥堵。经常性充血的常见原因,也称为高速公路瓶颈,包括车道下降,斜坡合并和编织部分。恶劣天气可以减少最大队列排放流量,但这种效果尚未系统地研究过。该研究检测了放电流量和天气特性之间的关系,包括降雨强度,风速和可见性。使用累积计数和占用曲线的既定方法测量四个孤立合并瓶颈的队列排放速率。降雨强度的放电变化分析显示,降低排放量降低5%(降雨<0 in./h)到大雨降雨量的27%[降雨> 2.54mm / h(> 0.1 in./h)]。然而,雨强度仅占放电流量的一部分变异性。使用额外的风速和可视性进行测试两个假设,以及将放电流程分成多个分组。基于这些假设的分析描述了与单个独立变量的分析更好的队列放电流程的变化。该研究表明,天气特征是瓶颈队列排放率的重要预测因素。 DOI:10.1061 / JTEPBS.0000434。 ©2020美国土木工程师协会。

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