All: Modeled Results

Displaying 10 of 567 result(s).

Mobile-Based Weigh Station Saved Freight Fleets an Average of Seven Minutes, 0.5 Gallons of Fuel, and $10.65 in Operating Costs.
Content Type: Benefit | Date Posted: 08/31/2026 | Source Date:
Estimated Annual Benefits of Implementing the Drayage, Freight, and Logistics Exchange (DrayFLEX) Application, Designed to Optimize Truck Dispatch and Routing, in Los Angeles Ports are $1.1 Million.
Content Type: Benefit | Date Posted: 07/27/2026 | Source Date:
An Intelligent Path Optimization System for Emergency Responses at Railway Level Crossings in Columbia, South Carolina, Reduced Response Times by up to 79.3 Percent Compared to Wait-and-Stop Strategies.
Content Type: Benefit | Date Posted: 06/30/2026 | Source Date:
Simulation Study Using NYC Taxi Data Found Robo-Taxi Fleet-as-Sensor Generated Approximately 75,000 Link-Level Traffic Observations Versus 2,000–4,000 for the Baseline, While Maintaining Similar Wait Times and VMT.
Content Type: Benefit | Date Posted: 05/26/2026 | Source Date:
A Cybersecurity-Enhanced Connected and Automated Vehicle System Achieved up to 96 Percent Cyberattack Detection Accuracy Using Real-World Roundabout Data in Michigan.
Content Type: Benefit | Date Posted: 05/26/2026 | Source Date:
Using Simulated Data, A Cloud-Based Traffic Management System with V2X-Enabled Dynamic Traffic Control Outperformed Existing Models, Achieving a 25 Percent Improvement in Traffic-Flow Efficiency and a 40 Percent Faster Response Time.
Content Type: Benefit | Date Posted: 04/24/2026 | 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.
Content Type: Benefit | 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.
Content Type: Benefit | 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.
Content Type: Benefit | Date Posted: 03/27/2026 | Source Date:
Artificial Intelligence-Based Transit Signal Priority Control Reduced Average Person Delay by 18.77 Percent in the Peak Hour and 23.37 Percent in the Off-Peak Hour Compared to Pretimed Signal Control.
Content Type: Benefit | Date Posted: 02/26/2026 | Source Date:
ITS Deployment Evaluation

1200 New Jersey Avenue, SE
Washington, DC 20590

its.dot.gov

U.S. Department of Transportation Office of the Assistant Secretary for Research and Technology (OST-R)
 
 
Web Policies and Notices | Careers | FOIA | Privacy Policy | Information Quality | No FEAR Act Data | Ethics
| Office of Inspector General | OIG Hotline | BusinessUSA | USA.gov | White House