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Artificial-intelligence-based optimization of the management of snow removal assets and resources.
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2002-10-01
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[PDF-1.46 MB]
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Edition:Final report; June 2000¿Sept. 2002.
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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.
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