Eil Kwon, Seongah Hong, Soobok Kim, Soobin Jeon
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.
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