Integrated Modeling for Road Condition Prediction Phase 4: Final Report

Garrett, Kyle; Ma, Jiaqi; Sanchez, Robert; Wolshon, Brian; Neuner, Michelle; Leidos, Inc.; Synesis Partners LLC; University of California, Los Angeles; UVM Consulting Group, LLC

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

Integrated Modeling for Road Condition Prediction Phase 4: Final Report

2023-07-01
By Garrett, Kyle ; Ma, Jiaqi ; Sanchez, Robert ; ...

English

Details You May Also Like

Details:

Creators:

Garrett, Kyle ; Ma, Jiaqi ; Sanchez, Robert ; Wolshon, Brian ; Neuner, Michelle

Garrett, Kyle ; Ma, Jiaqi ; Sanchez, Robert ; Wolshon, Brian ; Neuner, Michelle Less -
Corporate Creators:

Leidos, Inc. ; Synesis Partners LLC ; University of California, Los Angeles ; UVM Consulting Group, LLC

Leidos, Inc. ; Synesis Partners LLC ; University of California, Los Angeles ; UVM Consulting Group, LLC Less -
Contributors:

Paracha, Jawad
Corporate Contributors:

United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:

[+]

Road Weather Information Systems Traffic Models Transportation Operations Transportation System Management Weather Conditions Weather Forecasting
Publication/ Report Number:

FHWA-HOP-23-003
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Contracting Officer:

Paracha, Jawad
Corporate Publisher:

United States. Department of Transportation. Federal Highway Administration
Abstract:

The Federal Highway Administration Road Weather Management Program started development of Integrated Modeling for Road Condition Prediction (IMRCP) in 2015 to provide data and decision support for transportation system management and operations in weather events. IMRCP gathers traffic and weather data and forecasts. It creates new forecast data for road weather and traffic conditions from the collected data. It provides tools for what-if analyses and views of the data from past, present, and future operational time horizons. It supports transportation system and emergency operations in decision-making and after-action reviews. Previous phases of IMRCP had developed the foundational traffic and weather data system components. IMRCP phase 4 has improved and deployed the system in Ohio and Louisiana, expanding system capabilities and applicability to extreme events while addressing functional gaps identified in earlier phases. The Ohio deployment focused on IMRCP as a tool for planning, monitoring, and post-event assessment of traffic management and operations during adverse, primarily winter-weather events. The Louisiana deployment investigated IMRCP use cases in tropical-storm-event preparation, response, and recovery. IMRCP enhancements and applications developed in phase 4 have been documented to support future deployments. The final report describes the phase 4 development, demonstration, evaluation, and assessment of IMRCP. It provides a summary description of the system design, study area of deployment and engagement, operations experience, evaluation, and recommendations for further study.
Format:

PDF
Funding:

DTFH6116D00053L/ 693JJ320F000315
Collection(s):

Federal Highway Administration
Main Document Checksum:

[+]

urn:sha-512:b20b1b8360a8cb3aeec6b69e3068571c877afdb5b556f92975ad8cecf10e2c97d27e7e0ad3aba75b757963a41dd5357c896f038a93bc4f33b7421de21c31bf35
Download URL:

https://rosap.ntl.bts.gov/view/dot/74645/dot_74645_DS1.pdf
File Type:

[PDF-3.82 MB]