All: Productivity

Displaying 597 result(s).

Field Study Shows Routes of Connected Snowplows Had a Larger Reduction in Roadway Crash Rates (up to 3.87) than their Non-Equipped Counterparts (1.82).
Date Posted: 05/26/2023 | Source Date:
Continuous Dynamic Optimization (CDO) Technology for Automated Paratransit Scheduling Operations Improved Transit Service Productivity Up to 31 Percent as a Measure of Increased Passenger Trips per Revenue Vehicle Hour.
Date Posted: 05/30/2023 | Source Date:
A Novel Low-Cost Weigh in Motion (WIM) System Tested in Virginia Suggested the Cost to Monitor Vehicle Weights and Axle Layouts in Live Traffic Could be Reduced by 73 Percent Compared to a Traditional WIM System.
Date Posted: 05/30/2023 | Source Date:
Seattle Study Showed 30 Percent Reduction in Travel Time, From 27 Minutes to 19 Minutes, When Integrating On-Demand Shared Mobility With Transit Service Compared to Fixed-Route Buses.
Date Posted: 04/30/2023 | Source Date:
Provision of First/Last-mile System in Pierce County, Washington Was Found to be up to 54 Percent More Cost Effective than Fixed Route Services with Similar Objectives.
Date Posted: 04/24/2023 | Source Date:
A Study in South Carolina Found That Advantages of Unmanned Aircraft Systems Deployment for Bridge Inspection Include Reduced Need for Under Bridge Inspection Trucks, Convenient Documentation, and Increased Safety for Inspection Engineers.
Date Posted: 03/31/2023 | Source Date:
Deploying Autonomous Aircraft Technologies in Ohio for the Cargo Market Was Estimated to Have a State-Wide Infrastructure Revenue-to-Investment Ratio of 2.2 for a 25-Year Analysis from 2021 to 2045.
Date Posted: 03/28/2023 | Source Date:
Model Predicts Electric, Fully-Automated Taxis in San Francisco Can Reduce Net Energy Consumption and Emissions by 54.39 Percent and 33.07 Percent, Respectively.
Date Posted: 03/22/2023 | Source Date:
Auto-Calibration Using Automatic Vehicle Identification Data Tested at Several Weigh-In-Motion Stations in Arkansas Found to Reduce Calibration Costs by 30 to 98 Percent.
Date Posted: 01/31/2023 | Source Date:
Modeling of a Predictive Maintenance Process to Screen Railway Transit Signals for Repair Showed That a Machine Learning Algorithm Could Identify 35 Percent of Failures a Month in Advance.
Date Posted: 01/13/2023 | Source Date:
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