Artificial-intelligence-based optimization of the management of snow removal assets and resources.

Salim, M. D.; Timmerman, Marc A.; Strauss, Tim; Emch, Michael E.; University of Northern Iowa

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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.

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Artificial-intelligence-based optimization of the management of snow removal assets and resources.

2002-10-01
By Salim, M. D. ; Timmerman, Marc A. ; Strauss, Tim ; ...

English

Details You May Also Like

Details:

Creators:

Salim, M. D. ; Timmerman, Marc A. ; Strauss, Tim ; Emch, Michael E.

Salim, M. D. ; Timmerman, Marc A. ; Strauss, Tim ; Emch, Michael E. Less -
Corporate Creators:

University of Northern Iowa
Corporate Contributors:

United States. Department of Transportation. Research and Special Programs Administration ; United States. Department of Transportation. University Transportation Centers (UTC) Program

United States. Department of Transportation. Research and Special Programs Administration ; United States. Department of Transportation. University Transportation Centers (UTC) Program Less -
Subject/TRT Terms:

[+]

Artificial Intelligence Asset Management Computer Algorithms Geographic Information Systems Heuristic Algorithms Knowledge Acquisition (Expert Systems) Knowledge Engineering Optimization Snow Snow And Ice Control Snow Removal
Publication/ Report Number:

G/C No. Y00-162
Resource Type:

Tech Report
Geographical Coverage:

Iowa
Edition:

Final report; June 2000¿Sept. 2002.
Corporate Publisher:

Midwest Transportation Consortium
Abstract:

Geographic information systems (GIS) and artificial intelligence (AI) techniques were used to develop an intelligent

snow removal asset management system (SRAMS). The system has been evaluated through a case study examining

snow removal from the roads in Black Hawk County, Iowa, for which the Iowa Department of Transportation (Iowa

DOT) is responsible. The SRAMS is comprised of an expert system that contains the logical rules and expertise of

the Iowa DOT’s snow removal experts in Black Hawk County, and a geographic information system to access and

manage road data. The system is implemented on a mid-range PC by integrating MapObjects 2.1 (a GIS package),

Visual Rule Studio 2.2 (an AI shell), and Visual Basic 6.0 (a programming tool). The system could efficiently be

used to generate prioritized snowplowing routes in visual format, to optimize the allocation of assets for plowing,

and to track materials (e.g., salt and sand). A test of the system reveals an improvement in snowplowing time by 1.9

percent for moderate snowfall and 9.7 percent for snowstorm conditions over the current manual system.
Format:

PDF
Funding:

MTC 3-A
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:be5c3e5cc3cac2feaebd268d5808edfd8703da204f258a809447f9aa5a4b1cef
Download URL:

https://rosap.ntl.bts.gov/view/dot/24539/dot_24539_DS1.pdf
File Type:

[PDF-1.46 MB]