United States Department of Transportation
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Integrated Modeling for Road Condition Prediction [Final Report]
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2017-12-31
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[PDF-4.30 MB]
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Alternative Title:Integrated Modeling for Road Condition Prediction : Final Report
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Edition:Technical Report, September 8, 2015 - December 31, 2017
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Abstract:Transportation Systems Management and Operations (TSMO) is at a critical point in its development due to an explosion in data availability and analytics. Intelligent transportation systems (ITS) gathering data about weather and traffic conditions coupled with the imminent deployment of connected vehicles will bring an increase in data availability to power traffic and road condition predictions. This convergence of opportunities has led the Federal Highway Administration's (FHWA) Road Weather Management Program (RWMP) to initiate research into integrated modeling for road condition prediction (IMRCP) to investigate and capture that potential. The product of this IMRCP research is a prototype system and demonstration deployment that provides a framework for the integration of road condition monitoring and forecast data to support decisions by travelers, transportation operators, and maintenance providers. The system collects and integrates environmental and transportation operations data; collects forecast weather data; initiates road weather and traffic forecasts; generates advisories and warnings; and provides the results to other applications and systems. This Final Report describes the development and deployment of the demonstration prototype, including the concept of operations and system requirements, stakeholder engagement, system architecture, system design, system development, test, deployment, and evaluation.
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