Adaptive Route Optimization for Operations– Concept of Operations

Garrett, Kyle; Hawkins, Neal; Dong, Jing; Schaefer, Ron

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Adaptive Route Optimization for Operations– Concept of Operations

2021-12-01
By Garrett, Kyle ; Hawkins, Neal ; Dong, Jing

File Language:

English

Details

Creators:

Garrett, Kyle ; Hawkins, Neal ; Dong, Jing ; Schaefer, Ron
Corporate Creators:

Leidos, Inc. ; Iowa State University ; Synesis Partners LLC
Contributors:

Johnson, David
Corporate Contributors:

United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA-HOP-22-004
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Concept of Operations
Contracting Officer:

Johnson, David
Corporate Publisher:

United States. Department of Transportation. Federal Highway Administration
Abstract:

This document is a concept of operations for developing a snowplow adaptive route optimization (ARO) solution. The information in this concept of operations supports systems engineering for creating an ARO system or tool that incorporates real-time and historic data for maintenance and operations personnel to use during adverse winter weather. State departments of transportation currently spend more than $2 billion per year on snow and ice control and more than $5 billion per year on repairs due to snow and ice operations, chemical use, and wear. Given these costs, even minor improvements to snowplow routing can produce savings through reduced staff time, material use, and waste. This concept of operations describes current snowplow routing technologies and practices, the need for changes, the concept for ARO, application scenarios, impacts on systems and organizations, and advantages and limitations.
Format:

PDF
Funding:

693JJ321F000156
Download URL:

https://rosap.ntl.bts.gov/view/dot/72306/dot_72306_DS1.pdf
File Type:

[PDF - 1.19 MB]
Collection(s):

Federal Highway Administration
Main Document Checksum:

urn:sha-512:54c39a781f19f700b0f6c292bd45ce1658b43309fa2d660e8633faf86518ec5eec254772dc3968269cc652242c71bef5d380c4ae51c80f09265638ac8bc02257

File Language:

English

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