Best Practices for Road Weather Management Version 2.0
Title:
The Design of a Quality Control Algorithm for Environmental Sensor Stations
Abstract:
The paper describes research underway at the University of North Dakota to advance solutions for effective operational quality control techniques of ESS pavement sensor data. The paper provides a compilation of known quality control techniques and extrapolates theoretical best fit techniques for pavement sensors. These methods include but are not limited to techniques involving Bayesian methods, a complex quality control method developed by Gandin, and variational methods of quality control. The preliminary results of the comparison of these techniques for data collected at a dedicated road weather field research facility are presented. The site includes numerous meteorological instruments as well as sensors for monitoring road and roadway environment conditions. The instrumentation includes temperature, relative humidity and wind probes at 2, 5, 10, and 15 meters, multiple precision precipitation measurement systems, an array of ultra-sonic snow depth sensors, and various pavement and sub-pavement sensors. The pavement sensors perform measurements of temperature, freeze point determination, and condition (dry, wet, etc) of the road surface.
Source(s):
American Meteorological Society Annual Meeting, University of North Dakota
http://ams.confex.com/ams/pdfpapers/102365.pdf
Date: 2006
Author:
Haskins
Keywords:
Pavement condition
Pavement temperature
PDF files can be viewed with the Acrobat® Reader®.
