Weather-Savvy Roads: Lessons from Front Line Deployers

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Weather-Savvy Roads: Lessons from Front Line Deployers

2018-01-01
By United States. Federal Highway Administration

File Language:

English

Details

Corporate Creators:

United States. Federal Highway Administration
Contributors:

Alfelor, Roemer M. ; Murphy, Ray ; Guevara, Gabriel ; Huneke, Joseph (Joe) ; Cook, Steve ; Schilling, Rod
Subject/TRT Terms:
Publication/ Report Number:

FHWA-HOP-18-076
Resource Type:

Brief
Geographical Coverage:

United States
Corporate Publisher:

United States. Federal Highway Administration
Abstract:

Integrating Mobile Observations (IMO) involves collecting atmospheric weather, road conditions, and native data from government fleet vehicles’ ancillary weather sensors and vehicle-based controllers. The data provide maintenance and operations managers with a more detailed view of the weather and road conditions as well as asset locations along the highway network. This information supports a host of road weather management strategies, including maintenance, traffic, and performance management. This fact sheet incorporates many of the lessons learned and best practices that were captured from the Minnesota (MnDOT), Nevada (NDOT), and Michigan (MDOT) Departments of Transportation (DOTs) that have been involved with IMO for several years. Each of the DOTs used a systems engineering approach to implement IMO. The information conveyed is centered around the systems engineering process. Information also comes from the Clear Roads Pooled Fund study on automatic vehicle location and global positioning systems (AVL/GPS). This fact sheet is intended for those who deploy IMO technologies, breaking down deployment into key steps to help make it manageable.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/43526/dot_43526_DS1.pdf
File Type:

[PDF - 1.84 MB]
Collection(s):

Federal Highway Administration
Main Document Checksum:

urn:sha-512:8585016bc3ae2b1d912278c1f9ba26a097bd18ca94dc0ce2103ab2fd462c56dde65f0fac68511257179b617aaff18b3ee178a7f5b6e2497ea97ee17c3feab1dc

File Language:

English

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