Artificial-Intelligence-Based Optimization of the Management of Snow Removal Assets and Resources Final Report, October 2002

(2002) Artificial-Intelligence-Based Optimization of the Management of Snow Removal Assets and Resources Final Report, October 2002. Transportation, Department of

[img]
Preview
PDF
SnowplowReport.pdf

Download (1MB)

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.

Item Type: Newsletter
Keywords: artificial intelligence, geographic information systems, asset management, snow removal, knowledge engineering, heuristic algorithms
Subjects: Transportation > Research
Transportation > Roads and highways
Transportation > Design and Construction
Transportation
ID Code: 13599
Deposited By: Margaret Barr
Deposited On: 21 Aug 2012 19:14
Last Modified: 21 Aug 2012 19:14
URI: http://publications.iowa.gov/id/eprint/13599

Actions (login required)

View Item View Item