Latest Benefits Updates

An Automated Speed Camera Pilot Program in Minneapolis Reduced Speeding by Approximately 30 Percent and Extreme Speeding by 76 Percent after One Month of Operations at Five High-Risk Locations.
Date Posted: 03/30/2026 | Source Date:
An Advanced Traffic Control Model for Connected and Automated Vehicles Reduced Vehicle and Pedestrian Delay by Up to 35 Percent in Simulation and Field Tests in Ann Arbor, Michigan.
Date Posted: 03/30/2026 | Source Date:
AI Tools Combining Multiple Models Improved Prediction of Nighttime Pedestrian Crash Injury Severity in North Carolina by Five Percent Using Four Years of Crash Data.
Date Posted: 03/30/2026 | Source Date:
When Combined with Added Enforcement, the Smart Sign Technology in Washington, D.C., Reduced Daily Distracted Driving by Approximately 45 Percent.
Date Posted: 03/30/2026 | Source Date:
Pilot Project Using Vehicle-to-Curb (V2C) Technologies Projected a 50 Percent Reduction in Unauthorized Vehicle Use at Commercial Vehicle Load Zones.
Date Posted: 03/30/2026 | Source Date:
A Deep Learning Model Improved Traffic Prediction Accuracy by 20 to 50 Percent Over Baseline Models in a Simulated Smart-City V2X Network.
Date Posted: 03/27/2026 | Source Date:
Six Months After Deployment, Speed Cameras in San Francisco Reduced Speeding by 72 Percent Across 15 Sites and Lowered Average Speeds by 4 MPH.
Date Posted: 03/27/2026 | Source Date:
Game-Theory Based Traffic Signal Control Algorithm Using Drone-based and Simulated Traffic Data Reduced Traffic Delay by 37.7 Percent and Turning Movement Estimation Error by Up To 50 Percent.
Date Posted: 02/26/2026 | Source Date:
A Variable Speed Limit System Implemented on a 15-Mile Section of I-95 in Virginia Reduced Fatal and Injury Crash Rates by 22 Percent and Rear-end Crash Rates by Nine Percent.
Date Posted: 02/26/2026 | Source Date:
Simulation Study on a Three-Segment Highway Network Found that Artificial Intelligence (AI) Based Ramp Metering Reduced Average Time Spent by Vehicles by 35 Percent.
Date Posted: 02/26/2026 | Source Date:
ITS Deployment Evaluation

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U.S. Department of Transportation Office of the Assistant Secretary for Research and Technology (OST-R)
 
 
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