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Alternative Title:Route optimization phase 1.
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Abstract:For winter maintenance purposes, the Ohio Department of Transportation (ODOT) deploys a fleet of
approximately 1,600 snow plow trucks that maintain 43,000 lane miles of roadway. These trucks are based out
of 200 garages, yards, and outposts that also house 650,000 tons of salt (ODOT, 2011). The deployment of
such a large number of trucks over a vast maintenance area creates an operational problem in determining the
optimal maintenance routes and fleet size. In recent years, several advances have been made in route
optimization that may aid in determining the required number of trucks and the area that these trucks should
maintain throughout the state of Ohio. Traditionally, ODOT has used county borders as maintenance
boundaries for ODOT garages. However, by removing these borders and optimizing the snow plow routes,
ODOT may benefit from a significant time and cost savings. For the purpose of route optimization, ODOT
Districts 1, 2, and 10 have been selected to serve as case studies for this project.
The results of this project will provide ODOT a tool to determine the minimum number of trucks needed to
maintain the necessary roadways within Districts 1, 2, and 10. In addition, the project provides ODOT a tool to
assign assets to specific facilities and the most optimal routes for each truck in the district. This research may
result in a reduction of fleet sizes and a significant cost savings while maintaining an equal or better LOS.
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