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Accession Number PB2013-105683
Title Estimation of Winter Snow Operation Performance Measures with Traffic Data.
Publication Date Dec 2012
Media Count 56p
Personal Author E. Kwon S. Hong S. Jeon S. Kim
Abstract 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 study, 64-65% of all the segments in those two routes have less than 30-minute differences between the estimated road condition recovered times and the reported lane-regain times, while one event on January 23, 2012, has only 44% of all the segments with less than 30-minute differences. It needs to be noted that there was only one reported lane-regain time for each snow event for all the routes used in this study.
Keywords Bare-lane regain time
Detectors
Efficiency
Highway maintenance
Minnesota
Performance evaluation
Road conditions
Snow removal
Speed
Traffic flow
Travel patterns
Weather
Winter operations


 
Source Agency Department of Transportation
NTIS Subject Category 50A - Highway Engineering
43G - Transportation
91B - Transportation & Traffic Planning
85H - Road Transportation
Corporate Author Minnesota Univ.-Duluth. Dept. of Civil Engineering.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1312
Contract Number N/A

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