Snowplow Route Optimization for the Kansas Roadway System
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Snowplow Route Optimization for the Kansas Roadway System

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Details:

  • Creators:
  • Corporate Creators:
    University of Kansas. Dept. of Civil, Environmental and Architectural Engineering
  • Corporate Contributors:
    Arkansas. Department of Transportation
  • Subject/TRT Terms:
  • Publication/ Report Number:
    K-TRAN: KU-20-3
  • Resource Type:
    Tech Report
  • Geographical Coverage:
  • Edition:
    Final Report July 2019 – June 2022
  • Corporate Publisher:
    Arkansas. Department of Transportation
  • Abstract:
    State departments of transportation (DOTs) spend substantial resources on snow and ice control activities and operations each year. The Kansas DOT (KDOT) spends from $7 million to $22 million annually. KDOT winter maintenance operations currently deploy a fleet of 591 snowplow trucks, including 1,182 drivers and approximately 200 engineering technicians, to maintain more than 25,000 lane miles. The deployment of so many trucks over a vast maintenance area makes it operationally difficult to determine optimal maintenance routes and fleet size. The objective of this project was to develop a snowplow truck route optimization plan for one district (District 4) to help KDOT enhance snow removal efficiency by justifying the fleet size and efficiently allocating limited resources while maintaining roadway safety and reliability. The fleet optimization model was developed using geographic information system (GIS) base maps created by a commercial software package, ArcGIS, and its Network Analyst extension and vehicle routing problem toolset. By iteratively removing the least efficient trucks and updating a new GIS base map, the optimization model minimized the fleet size and maintained the current level of service (LOS) for all 144 snow and ice routes within District 4. The current LOS of 71% increased to 81% when relevant snow and ice routes were grouped without adding trucks to the current fleet optimization. The proposed optimization model also decreased the total travel time needed to treat all snow and ice routes in District 4 by approximately 29 hours for one treating iteration. These study results could also be applied to other districts in Kansas.
  • Format:
    PDF
  • Funding:
    C2149
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