All: Modeled Results

Displaying 10 of 350 result(s).

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:
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.
Content Type: Benefit | Date Posted: 02/26/2026 | 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.
Content Type: Benefit | Date Posted: 02/26/2026 | Source Date:
ITS Deployment Evaluation

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