Benefits Goals: Mobility

614 unique benefits found.

A Real-Time AI-Assisted Traffic Signal Control System in San Anselmo, California, Reduced Time Spent in Traffic by Approximately 30 Percent at a Cost of 30 Cents Per Hour to the City.
Date Posted: 04/24/2026 | Source Date:
Pilot Deployment of a GPS Data-Informed Traffic Signal System in Michigan Yielded Up to a 30 Percent Reduction in Delay and 40 Percent Reduction in Stops.
Date Posted: 04/24/2026 | Source Date:
A Transit Signal Priority (TSP) Deployment along Salem, Oregon's Lancaster Drive Corridor Reduced Late Bus Arrivals by 20 Percent.
Date Posted: 04/24/2026 | 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.
Date Posted: 04/24/2026 | Source Date:
An Adaptive Ramp Metering System on I-880 in the San Francisco Bay Area Reduced Vehicle Hours of Delay by 16 Percent and Bottleneck Congestion by 18 Percent.
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.
Date Posted: 03/30/2026 | 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.
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.
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.
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.
Date Posted: 02/26/2026 | Source Date:
ITS Deployment Evaluation

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its.dot.gov

U.S. Department of Transportation Office of the Assistant Secretary for Research and Technology (OST-R)
 
 
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