All: Metropolitan Areas

Displaying 10 of 1094 result(s).

Implementation of an Adaptive Traffic Signal Control System Reduced Annual User Costs by $977,000 in Peterborough, Ontario, Canada.
Content Type: Benefit | Date Posted: 09/25/2025 | Source Date:
Connected Vehicle System Deployment Costs are Estimated at $3,000 to $5,000 per Roadside Unit and $2,000 to $3,000 per Onboard Unit with Existing System Upgrade Costs Estimated at More Than $20,000 per Location.
Content Type: System Cost | Date Posted: 09/25/2025 | Source Date:
Smart Intersection Pilot in College Station, Texas Achieved 99 Percent Accuracy Detecting Equipped Buses and Increased Pedestrian/Bicyclist Perception of Safety up to 88 Percent.
Content Type: Benefit | Date Posted: 09/25/2025 | Source Date:
In Colorado Springs, the Adaptive Traffic Management System Using Radar, LiDAR, Video Analytics, and “Digital Twin” of Intersection Operations Estimated Reductions in Traffic Delay Up to 23.7 percent.
Content Type: Benefit | Date Posted: 08/28/2025 | Source Date:
Simulation Study Revealed That Crash Frequency was Reduced by Up to 88.43 Percent or 93.92 Percent Across Two Scenarios with the Introduction of an Automatic Emergency Braking System.
Content Type: Benefit | Date Posted: 08/28/2025 | Source Date:
Deployment of Fixed Speed Cameras in New York City Reduced Traffic Crashes by 14 Percent.
Content Type: Benefit | Date Posted: 08/27/2025 | Source Date:
Consider the Accuracy Required, Scale of Application, and Nature of the Decision When Applying Artificial Intelligence and Machine Learning Solutions.
Content Type: Lesson | Date Posted: 08/27/2025 | Source Date:
Using Artificial Intelligence and Machine Learning Solutions for a Median Inventory and Traffic Volume Estimation in Missouri Cost $80,000 and $45,000, Respectively.
Content Type: System Cost | Date Posted: 08/27/2025 | Source Date:
Replacing DSRC Roadside Units With C-V2X Units on a 28-Mile Section of I-24 in Nashville Estimated to Cost $1.8 Million.
Content Type: System Cost | Date Posted: 07/31/2025 | Source Date:
Texas Study Showed Machine Learning-Based Travel Time Predictions Were 40 Percent More Accurate During Peak Periods Compared to Traditional Approaches.
Content Type: Benefit | Date Posted: 07/31/2025 | Source Date:
ITS Deployment Evaluation

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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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