|
|
|
Title: An Approach to Terrain Classification to Improve Road Condition Forecasts of Maintenance Decision Support Systems
Accession Number: 01103915
Record Type: Component
Availability: Find a library where document is available Abstract: Recently introduced maintenance decision support systems for winter maintenance operations incorporate the outcome of planned plowing and salting operations on meteorological forecasts of highway snow cover to provide a route-specific, tactical plan for storm events. The forecast is limited by meteorological input at the scale of roadway weather information system (RWIS) stations that does not address local variance due to drifting snow. This study investigates the influence of roadside terrain on snow accumulation and proposes a terrain classification approach for predicting local differences. This study uses surface friction measurements to estimate snow cover continuously along maintenance routes at repeated intervals through winter storms. Relationships between friction, roadside terrain features, and meteorological conditions are demonstrated using mapping, spatial correlation, and frequency domain analyses. This approach to mapping snow cover and classifying terrain can be applied to more accurately interpolate snow cover information between RWIS stations, and predict differences in demand for maintenance equipment or requirements for road salt between RWIS stations.
Monograph Accession #: 01103914
Report/Paper Numbers: Snow08-039
Language: English
Authors: Perchanok, Max SPagination: pp 337-350
Publication Date: 2008-6
Serial: Conference:
Fourth National Conference on Surface Transportation Weather; Seventh International Symposium on Snow Removal and Ice Control Technology
Location:
Indianapolis Indiana, United States Media Type: Web
Features: Figures
(13)
; References; Tables
(5)
TRT Terms: Uncontrolled Terms: Subject Areas: Geotechnology; Highways; Maintenance and Preservation; I62: Winter Maintenance
Files: TRIS, TRB
Created Date: Jun 26 2008 7:13PM
|
