Evaluating the Robustness of MDSS Forecast and Compliance with Recommendations

Brinster, Gregory L; Desai, Jairaj; Overall, Myles; Gartner, Christopher; Sakhare, Rahul Suryakant; Mathew, Jijo K; Evans, Nick; Bullock, Darcy M.

doi:10.5703/1288284317805

i

Evaluating the Robustness of MDSS Forecast and Compliance with Recommendations

2024-09-01
By Brinster, Gregory L ; Desai, Jairaj ; Overall, Myles

File Language:

English

[PDF - 14.46 MB]

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Creators:

Brinster, Gregory L ; Desai, Jairaj ; Overall, Myles ; Gartner, Christopher ; Sakhare, Rahul Suryakant ; Mathew, Jijo K ; Evans, Nick ; Bullock, Darcy M.
Corporate Creators:

Purdue University. Joint Transportation Research Program
Corporate Contributors:

Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA/IN/JTRP-2024/31
DOI:

https://doi.org/10.5703/1288284317805
Resource Type:

Tech Report
Geographical Coverage:

Indiana;United States
Edition:

Final Report
Corporate Publisher:

Purdue University. Joint Transportation Research Program
Abstract:

The Indiana Department of Transportation (INDOT) adopted the Maintenance Decision Support System (MDSS) for user-defined plowing segments in the winter of 2008–2009. Since then, many new data sources, including connected vehicle data, enhanced weather data, and fleet telematics have been integrated into INDOT winter operations activities. The objective of this study was to use these new data sources to conduct a systematic evaluation of the robustness of the MDSS forecasts. During the 2023–2024 winter season, 26 unique MDSS forecast data attributes were collected at 0-, 1-, 3-, 6-, 12-, and 23-hour intervals from the observed storm time for 6 roadway segments during 13 individual storms. In total, over 888,000 MDSS data points were archived for this evaluation. This study developed novel visualizations to compare MDSS forecasts to multiple other independent data sources, including connected vehicle data, National Oceanic and Atmospheric Administration (NOAA) weather data, road friction data and snowplow telematics.
Format:

PDF
Funding:

SPR-4704
Download URL:

https://rosap.ntl.bts.gov/view/dot/81833/dot_81833_DS1.pdf
File Type:

[PDF - 14.46 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:5f1031ad64d6e3a4529adf205916f8bfda431a00c62c57ab44983ca45767180c57f0c8de37d25bac795ac58f9ac6cab87b2d065825e00fa2cbae3234ac7af2a8

File Language:

English

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