Route optimization.

Details

• Alternative Title:
  Route optimization phase 1.
• Creators:
  Schneider, William ; Miller, Tyler M. ; Holik, William A.
• Corporate Creators:
  University of Akron
• Corporate Contributors:
  Ohio. Department of Transportation. Office of Statewide Planning and Research ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Route choice
  • Truck routes
  • Routes
  • Routes and routing
  • Optimization
  • Snowplows
  • Snow removal
  • Snow and ice control
  • Route Optimization
  • Level of Service
  More +
• Publication/ Report Number:
  FHWA/OH-2016-20
• Resource Type:
  Tech Report
• Geographical Coverage:
  Ohio
• Corporate Publisher:
  Ohio. Department of Transportation. Office of Statewide Planning and Research
• 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.
  More +
• Format:
  PDF
• Funding:
  27093
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31681/dot_31681_DS1.pdf
• File Type:
  [PDF - 5.21 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:1648a0d45bc21dcfab3aa4cf0094a95c3dc5ad058279229e8b15be13b6f01af5