Icy Road Forecast and Alert (IcyRoad): Validation and Refinement Using MDT RWIS Data

Fowler, Jennifer W; Jin, Menglin S; Bauer, Bart A; Naylor, Jaylene R; University of Montana--Missoula. Autonomous Aerial Systems Office; SpringGem Weather Information

doi:10.21949/1518320

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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

Icy Road Forecast and Alert (IcyRoad): Validation and Refinement Using MDT RWIS Data

2022-02-01
By Fowler, Jennifer W ; Jin, Menglin S ; Bauer, Bart A ; ...

[PDF-3.95 MB]

English

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Creators:

Fowler, Jennifer W ; Jin, Menglin S ; Bauer, Bart A ; Naylor, Jaylene R

Fowler, Jennifer W ; Jin, Menglin S ; Bauer, Bart A ; Naylor, Jaylene R Less -
Corporate Creators:

University of Montana--Missoula. Autonomous Aerial Systems Office ; SpringGem Weather Information

University of Montana--Missoula. Autonomous Aerial Systems Office ; SpringGem Weather Information Less -
Corporate Contributors:

Montana. Department of Transportation. Research Programs ; United States. Department of Transportation. Federal Highway Administration

Montana. Department of Transportation. Research Programs ; United States. Department of Transportation. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Algorithms Black Ice Detection And Identification Drones Forecast Algorithm Forecasting Hyperspectral Ice Icy Roads Infrared Analysis Near-infrared Principal Component Analysis Roads Snow Unmanned Aircraft Systems Water Weather Information System Weather Radar
Publication/ Report Number:

FHWA/MT-22-001/9891-785
DOI:

https://doi.org/10.21949/1518320
Resource Type:

Tech Report
Geographical Coverage:

Montana ; United States

Montana ; United States Less -
Edition:

Final report, July 2020-February 2022
Corporate Publisher:

Montana. Department of Transportation. Research Programs
Abstract:

State Departments of Transportation (DOTs) need road ice condition forecasts to enhance public safety and awareness. This research was divided into two areas, Task 1 Development of IcyRoad Model and Task 2 Validation of the Ice Formula. Task 1 - A statewide IcyRoad model has been developed, tested, and refined during winter 2020-2021 using Montana Road Weather Information System (RWIS) measurements. The hourly road ice forecast accuracy improved from 62% to 82%. Task 2 -The formula does not appear to hold true with this dataset, but principal component analysis (PCA) of hyper-spectral data can identify, water, ice, and snow in comparison to dry asphalt.
Format:

PDF
Funding:

MDT Project #9891-785
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:88dfb2b4c9e12229bb33f83ed900b7c6874a3babaa56910cdb8742ac0f9d8129
Download URL:

https://rosap.ntl.bts.gov/view/dot/61459/dot_61459_DS1.pdf
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Icy Road Forecast and Alert (IcyRoad): Validation and Refinement Using MDT RWIS Data

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