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Estimating Winter Weather Road Restoration Time using Outsourced Traffic Data: Three Case Studies in Maryland

机译:使用外包交通数据估算冬季天气道路恢复时间:马里兰州的三个案例研究

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The objective of this study is to examine the I-95 Vehicle Probe Project (VPP) data to determineif the speed and travel time data can be used as a basis to calculate winter weather roadrestoration performance measures, specifically by identifying the time required to restore theroadway to normal operating conditions. A candidate algorithm based on reduction of speed andchange in confidence score within the VPP has been proposed and tested. The algorithm isevaluated during three known snow events in the state of Maryland to determine if it successfullyidentifies the onset and clearance of hazardous road conditions.
机译:这项研究的目的是检查I-95车辆探查计划(VPP)数据,以确定 速度和行驶时间数据是否可以用作计算冬季天气道路的基础 恢复性能度量,特别是通过确定恢复时间所需的时间 正常运行条件下的车道。一种基于速度和速度降低的候选算法 已经提出并测试了VPP中置信度得分的变化。该算法是 在马里兰州的三场已知降雪事件中进行了评估,以确定是否成功 识别危险道路状况的起因和清除。

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