Estimation of Winter Snow Operation Performance Measures with Traffic Data
Eil Kwon, Seongah Hong, Soobok Kim, Soobin Jeon
Report no. MnDOT 2012-40
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.