Estimation of Winter Snow Operation Performance Measures with Traffic Data
Published Date
Publisher
Minnesota Department of Transportation
Type
Abstract
This research produced an automatic process to identify the road condition recovered times during snow events from the traffic-flow data. For this study, the traffic data from the past snow events were analyzed and the speed variation patterns indicating the road condition recovery states during the recovery periods were identified. The prototype process developed in this study finds the speed change point indicating the recovery of the road condition by analyzing the speed variations for a given location. The process was then applied to a set of the past snow events and the estimated recovered times were compared with the reported lane-regain time data.
Description
Related to
Estimation of Winter Snow Operation Performance Measures with Traffic-Flow Data, Phase 2
https://hdl.handle.net/11299/175561
https://hdl.handle.net/11299/175561
item.page.replaces
License
Collections
Series/Report Number
MnDOT 2012-40
Funding Information
Department of Civil Engineering and Northland Advanced Transportation Systems Research Laboratory, University of Minnesota, Duluth
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DOI identifier
Previously Published Citation
Other identifiers
Suggested Citation
Kwon, Eil; Hong, Seongah; Kim, Soobok; Jeon, Soobin. (2012). Estimation of Winter Snow Operation Performance Measures with Traffic Data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/144012.
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