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Title:Evaluation of Software Simulation of Road Weather Information System
Author(s):Vavrik, William R.; Dwyer, Carmine E.; Brink, Wouter C.; Larson, Gregg
Subject(s):roadway
weather
RWIS
vRWIS
EICM
pavement
surface temperature
thermal conductivity
heat capacity
thermal absorbtivity
icing
precipitation
freezing
Geographic Coverage:Illinois
Abstract:A road weather information system (RWIS) is a combination of technologies that collects, transmits, models, and disseminates weather and road condition information. Sensors measure a range of weather‐related conditions, including pavement temperature and status (wet, dry, snow), subsurface pavement temperature, wind speed and direction, precipitation, water level conditions, humidity, and visibility. These data are transmitted to automated warning systems, traffic operations centers, emergency operations centers, and road maintenance facilities for decision support. The Enhanced Integrated Climatic Model (EICM) is a computerized heat and moisture flow model that simulates changes in pavement and subgrade properties. It has evolved over the past 40 years and is a key module in the American Association of State Highway and Transportation Officials (AASHTO) Pavement ME Design software. Using the EICM as a software‐based RWIS can “virtualize” the data that would be gathered by conventional RWIS hardware and software systems. The software‐based RWIS stations would provide current conditions as well as pavement temperature forecasts to supplement or replace hardware in the RWIS network. The objective of this study was to evaluate the use of the EICM to determine pavement surface temperature for winter maintenance operations. Detailed pavement information at Illinois Department of Transportation, Illinois Tollway, and McHenry County RWIS locations was collected and used to model pavement surface temperatures with the EICM. The modeled pavement surface temperatures were compared with the measured pavement surface temperatures from the RWIS sensors. Data analysis showed that, when the pavement materials are used at the correct thickness and recommended default values are used for material types, a reasonable pavement surface temperature prediction can be obtained. Using these recommended default values for thermal conductivity, heat capacity, and shortwave absorptivity results in a reasonable modeled pavement temperature that can be used for understanding future snow and ice potential from forecast weather data.
Issue Date:2016-09
Publisher:Illinois Center for Transportation/ Illinois Department of Transportation
Citation Info:Vavrik, William R., Carmine E. Dwyer, Wouter C. Brink, and Gregg Larson. 2016. Evaluation of Software Simulation of Road Weather Information System. A report of the findings of ICT-R27-142. Illinois Center for Transportation Series No. 16-020. Research Report No. FHWA-ICT-16-018. Illinois Center for Transportation, Rantoul, IL.
Series/Report:ICT-16-020; FHWA-ICT-16-018
Genre:Technical Report
Type:Text
Image
Language:English
URI:http://hdl.handle.net/2142/93363
ISSN:0197-9191
Sponsor:Illinois Department of Transportation, R27-142
Date Available in IDEALS:2016-11-11


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