Final evaluation report for the greater Yellowstone regional traveler and weather information system (GYRTWIS)
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2003-12-30
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Alternative Title:Phase 3
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TRIS Online Accession Number:00973006
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NTL Classification:NTL-INTELLIGENT TRANSPORTATION SYSTEMS-Traveler Information;NTL-INTELLIGENT TRANSPORTATION SYSTEMS-Road Weather Management;
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Abstract:This final report describes the national evaluation of the Greater Yellowstone Regional Traveler and Weather Information System (GYRTWIS). This evaluation complements the ongoing GYRTWIS evaluation being conducted by WTI/MSU by investigating three areas: system impacts of 511; pavement thermal model accuracy; and case studies of the business model, institutional lessons learned, and 511 implementation challenges, guidelines, and standards. The system impact study investigated the impact of the deployment in terms of system usage and customer satisfaction. The number of calls to 511 indicated that travelers used the 511-telephone system more than they did the previous *ROAD and 800 information services. A majority of Montana travelers were quite satisfied with the accuracy, availability, usefulness, and ease of understanding of the GYRTWIS 511 telephone service when compared to the previous *ROAD and 800 telephone services. A copy of the 2002 and 2003 Montana Travel Information Surveys is provided in the Appendix of this report. The pavement thermal model (PTM) accuracy study investigated the accuracy of the predicted versus actual pavement temperatures. Although the PTM process showed promise for forecasting road surface temperature, limitations in the accuracy of small-scale, long term weather forecasts currently limit the accuracy of the road surface temperature forecasts. The overall accuracy of the model is not high enough at this time to make anti-icing decisions based primarily on the road surface temperature forecast by the model. The case studies investigated the GYRTWIS business model, institutional lessons learned, and 511 implementation challenges. A variety of key findings and lessons learned are presented.
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