All: Agency Productivity and Efficiency

Displaying 10 of 463 result(s).

Combining Unmanned Aerial Systems (UAS) with Advanced Digital Workflows to Support Transportation Infrastructure Inspections Was Projected to Reduce Hours Needed for Hazardous Work by 60 Percent under Forecasted Statewide Implementations.
Content Type: Benefit | Date Posted: 08/31/2026 | Source Date:
Deploying an Artificial Intelligence-based Decision Support System (AI-DSS) with Variable Speed Limits Led to a 14 Percent Reduction in Crashes on I-24 Corridor in Tennessee.
Content Type: Benefit | Date Posted: 07/27/2026 | Source Date:
Automated Continuous App-Based Traffic Alerts Reduced Uninformed Drivers by 79.45 Percent on a Slovenian Motorway.
Content Type: Benefit | Date Posted: 07/27/2026 | 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:
Incident Identification System for Missouri’s I-270 Corridor Reduced Incident Response Times by an Average of 10 Minutes.
Content Type: Benefit | Date Posted: 04/27/2026 | 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:
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:
Simulated Multimodal Transit Trip-Chain Planner Case Study of Arlington, TX, Showed Reducing Weekly and Monthly Ride Pass Prices Boosted Total Daily Revenue by $102 and Increased Total Rider Economic Benefit (Consumer Surplus) by $363 Per Day.
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)
 
 
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