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Project

#128 Optimizing Snow Plowing Operations in Urban Road Networks


Principal Investigator
Stephen Smith
Status
Completed
Start Date
Jan. 1, 2016
End Date
Jan. 1, 2017
Project Type
Research Advanced
Grant Program
MAP-21 TSET National (2013 - 2018)
Grant Cycle
2015 TSET UTC - National
Visibility
Public

Abstract

We propose to continue research into development of a system for real-time optimization and management of snow plowing operations. The envisioned system will (1) generate near-optimal plowing plans (or alternatively will import and adapt pre-existing plowing plans) to fit current resource constraints and storm characteristics (vehicles, salt inventories, road priorities), (2) dynamically update these plans as execution proceeds and provide early alerting of potential problems, and (3) generate routing adjustments for efficiently recovering from detected problems (e.g., impassable route, broken down vehicle). To enable this closed-loop capability, the system will exploit GPS tracking information to maintain the state of snowplow vehicles, and incorporate an application running on mobile devices for communicating turn-by-turn routing instructions to vehicle drivers. Our goal is field test and subsequently transition the system to the City of Pittsburgh’s Department of Public Works (DPW).    
Description
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Timeline
January 1, 2016 - January 1, 2017
Strategic Description / RD&T

    
Deployment Plan
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Expected Outcomes/Impacts
-
Expected Outputs

    
TRID


    

Individuals Involved

Email Name Affiliation Role Position
sfs@cs.cmu.edu Smith, Stephen Robotics Institute PI Faculty - Tenured

Budget

Amount of UTC Funds Awarded
$103670.00
Total Project Budget (from all funding sources)
$103670.00

Documents

Type Name Uploaded
Final Report Optimizing_Snow_Plowing_Operations.pdf April 2, 2018, 5:19 a.m.
Publication Snow plow route optimization: A constraint programming approach April 6, 2022, 4:37 a.m.

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