Details:

Creators:
Tran, Dan ; Nguyen, Phuong
Tran, Dan ; Nguyen, Phuong Less -
Corporate Creators:
University of Kansas. Dept. of Civil, Environmental and Architectural Engineering
Corporate Contributors:
Arkansas. Department of Transportation
Subject/TRT Terms:
[+]
Deicing Geographic Information Systems Maintenance Practices Optimization Roads Snowplows Snow Removal
Publication/ Report Number:
K-TRAN: KU-20-3
Resource Type:
Tech Report
Geographical Coverage:
Kansas ; United States
Kansas ; United States Less -
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
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:cc563c8ed9565b09c53fe9907212f9b83cff518ed1634b9cb59aac4a9247f17f
Download URL:
https://rosap.ntl.bts.gov/view/dot/70410/dot_70410_DS1.pdf
File Type:

Supporting Files

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