United States Department of Transportation
i
Integrated Modeling for Road Condition Prediction (IMRCP) [FHWA-JPO-17-601]
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2018-01-17
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By Pisano, Paul
[PDF-817.23 KB]
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Abstract:Intelligent transportation system deployments have enabled great advances in operational awareness and response based on the data they gather on the current state of the roadways. The next step in decision support is to forecast road conditions and build awareness of potential degradations before problems occur. Real-time traffic simulations and road weather models can forecast network traffic and road weather conditions before they occur, providing a basis for anticipatory and expedited response. These predictive methods can further assess the potential effects of implementing response strategies for traffic and demand management. Travelers could make forecast-enabled travel and routing decisions based on fastest or most reliable travel times. This convergence of opportunities led the Federal Highway Administration’s (FHWA) Road Weather Management Program (RWMP) to initiate research into and demonstration of Integrated Modeling for Road Condition Prediction (IMRCP). IMRCP capabilities could provide a practical tool for state and local transportation agencies to support operational decisions, maintenance planning, and traveler information at strategic and tactical levels.
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