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UPDATES

NHSA Newsletter 

Current Edition: Volume 17

GIS Tips - Get to the Point with Point Mode!

Locating sporadic distress like potholes can be a common challenge for road maintenance teams. It can require you to check each street one by one, costing you time and energy. For efficient and timely maintenance planning, it’s important to have a clear picture of the road conditions across your city.

Why not use Smart Pavement Management (SPM) to identify sporadic distresses in your city? Each point in our GIS Point Mode is assigned a color based on the 0-100 scale rating correlated to the Pavement Condition Index (PCI). Green indicates good condition, while red highlights areas needing attention. This allows you to identify segments in need of repair work. Zoom in and click on the Point button to view snapshots captured every 33 feet. With Point Mode, you can get easy access to detailed information all at a glance, helping you make data-driven decisions.

 

Take advantage of our 5-mile free trial of SPM-PCI today and experience Point Mode firsthand! 

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Image by Matheus Farias
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Commercial Projects 

Updated on March 31, 2024

Texas

City of Anna

City of Bridgeport

City of Plano

City of Roanoke

City of Carrollton

City of Hamilton

City of Hutchins

City of Irving

City of Sachse

City of Terrell

City of The Colony

City of Whitesboro

City of Wilmer

City of Crowley

City of Commerce

City of Huntington

City of Lucas

City of Wichita Falls

City of McLendon-Chisholm

City of Joshua

City of Merkel

Oklahoma

City of Ardmore

City of Piedmont

And more...

Free Trial Run Project

Since SPM is a cutting-edge solution powered by the latest AI technology, a free trial run project would be necessary to better understand the benefits and values.

At the moment, more than 40 cities in North Texas and Oklahoma have commenced pilot projects.

Please contact us right now, to enjoy the opportunity.

Working Together on Project

What's New

At Work

SPM-PCI

SPM-PCI is NEXCO’s proprietary index system. Like Pavement Condition Index (PCI) using the ASTM 6433 standard, it is a numerical index between 0 and 100, which indicates the general condition of the surveyed pavement. SPM-PCI has a statistically significant correlation with PCI. 

SPM-IRI

SPM-IRI is a simplified readability index leveraged by machine-learning technology. Based on the bump data recorded while data collection, NEXCO's provides a roughness index.

Deterioration Prediction

Using a standard deterioration curve, SPM provides a prediction of future pavement conditions as an add-on feature of SPM-PCI.

Budget Simulation and Repair Planning

Based on SPM-PCI and the predictive feature, our algorithm automatically offers a simulation of different budget scenarios over the years. The algorithm suggests the optimal combination of repair segments based on our mathematical model. Also, the segments located in an area where many others require the same maintenance category gain higher weights in the calculation to make the suggested work plan efficient and realistic.  This entire process is designed to mimic the considerations of the engineers who conduct maintenance planning manually.

New Features
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