原文传递 Estimation of Winter Snow Operation Performance Measures with Traffic Data.
题名: Estimation of Winter Snow Operation Performance Measures with Traffic Data.
作者: Hong, S.; Jeon, S.; Kim, S.; Kwon, E.
关键词: Detectors; Efficiency; Highway Maintenance; Minnesota; Performance Evaluation; Road Conditions; Snow Removal; Speed; Traffic Flow; Travel Patterns; Weather; Winter Operations
摘要: The capability to accurately and reliably estimate the performance of winter maintenance activities is of critical importance in improving the efficiency and effectiveness of winter snow-management operations. In this study, a prototype process is developed to determine the road condition recovery time, which could be used as an estimate of the bare-lane-regain time, from the traffic-flow data being collected from the existing loop detectors on the metro freeways. First, the traffic-flow variation process was analyzed with the traffic data from the past snow events and the speed recovery patterns near the reported lane-regain times were identified. The field data analysis indicates that the speed change patterns at a given location can vary significantly depending on the multiple factors, such as the intensity of snow, the traffic-flow level and the maintenance strategies. For example, the speed change rate and the final recovered speed level during a recovery period are directly affected by the amount of traffic-flow. It was also found out that the road condition recovered time could be considered to be the last significant speed increase point before the speed reached the posted limit or a stable value for a given location depending on the speed level when the speed recovery started. Based on the above findings, an automatic process to identify the speed change and the road condition recovered times at each detector station was developed and incorporated into TICAS, Traffic Information and Condition Analysis System, being developed at University of Minnesota Duluth. The computerized process was then applied to a subset of the 2011-12 winter maintenance operations data, which consists of the two routes for four snow events. The example application results show the promising results in terms of identifying the speed change points and estimating the road condition recovered times for the given four events with the traffic data. For the three events tested in this stu
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