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

-

Timeline

January 1, 2016 - January 1, 2017

Strategic Description / RD&T

Deployment Plan

-

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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