All: Modeled Results

Displaying 10 of 349 result(s).

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:
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

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