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Developing a Department of Transportation Winter Severity Index

机译:开发一个交通部冬季严重性指数

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Adverse weather conditions are responsible for millions of vehicular crashes, thousands of deaths, and billions of dollars per year in economic and congestion costs. Many transportation agencies utilize a performance or mobility metric to assess how well they maintain road access; however, there is only limited consideration of meteorological impacts to the success of their operations. This research develops the Nebraska winter severity index (NEWINS), which is a daily event-driven index derived for the Nebraska Department of Transportation (NDOT). The NEWINS includes a categorical storm classification framework to capture atmospheric conditions and possible road impacts across diverse spatial regions of Nebraska. A 10-yr (2006-16) winter season database of meteorological variables for Nebraska was obtained from the National Centers for Environmental Information. The NEWINS is based on a weighted linear combination applied to the collected storm classification database to measure severity. The NEWINS results were compared to other meteorological variables, many used in other agencies' winter severity indices. This comparison verified the NEWINS robustness for the observed events for the 10-yr period. An assessment of the difference between days with observed snow versus days with accumulated snow revealed 39% fewer snow-accumulated days than snow-observed days. Furthermore, the NEWINS results highlighted the greater number of events during the 2009/10 winter season and the lack of events during the 2011/12 winter season. It is expected that the NEWINS could help transportation personnel allocate efficiently resources during adverse weather events. Moreover, the NEWINS framework can be used by other agencies to assess their weather sensitivity.
机译:恶劣的天气条件负责数百万车辆崩溃,数千人死亡和每年经济性和拥堵成本的数十亿美元。许多运输机构利用性能或流动性指标来评估他们维持道路的程度;但是,对其运营成功的气象影响只考虑了气象影响。该研究开发了内布拉斯加州冬季严重程度指数(纽因),这是一个为内布拉斯加州运输部(NDOT)的日常事件驱动的指数。纽锦斯包括一个分类的风暴分类框架,以捕获内布拉斯加州各种空间地区的大气条件和可能的道路影响。 10年(2006-16)内布拉斯加州的气象变量冬季数据库是从国家环境信息获得的。 NewIns基于应用于收集的Storm分类数据库的加权线性组合以测量严重性。将甜点结果与其他气象变量进行比较,许多在其他机构的冬季严重性指数中使用。该比较验证了10年代的观察到的事件的鲁棒性。评估与观察到的雪与累计积雪的日子之间的差异显示39%,比观测到的日子较少39%。此外,纽锦斯业绩突出了2009/10冬季的事件数量较长的事件以及2011/12冬季缺乏活动。预计纽锦斯可以帮助运输人员在恶劣天气事件期间有效地分配资源。此外,其他机构可以使用新闻框架来评估其天气敏感性。

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