Start Date:
-Summary:
Many transportation system operations strategies are challenged by a lack of information about current and near-term future conditions. FHWA’s Road Weather Management Program has been working since 2015 towards developing a tool that incorporates real-time and/or archived data with results from an ensemble of forecast and probabilistic models, and fusing them together in order to predict the current and future overall road/travel conditions for travelers, transportation operators, and maintenance providers.
This IMRCP project is currently in its third phase. In Phase 1, the research team developed a concept of operations and requirements. Phase 2 further specified, implemented, tested, and evaluated the concept in the Kansas City metropolitan area in cooperation with KC Scout. Now, Phase 3 will build upon the Phase 2 demonstration deployment in Kansas City, increase highway network coverage, add an additional (alternative) traffic model, operate the system through two winter seasons, evaluate the operational results, and update the system engineering documents. The project has already started and extends into the summer of 2020.
Topics
IMRCP Background and Objectives
- Experience to Date
- Potential Applications and Future Directions
Target Audience: DOT Maintenance and Traffic Operations personnel
Learning Objectives: Learn about the current capabilities of the IMRCP System and the potential benefits of holistic roadway condition predictive systems
Instructors
Moderators: Gabe Guevara, PE; FHWA-RWMP
Presenters
Nancy Powell, MODOT, KC Scout TMC Systems Supervisor
Kyle Garrett, Principal System Developer