| Questionnaire on Transportation User Behaviors | Questionnaire looks at transportation users travel behaviors in markets where ride-hailing services have taken off in terms of use and coverage in the recent years. | Transportation researchers, analysts, and planners | Brief | B |
| Microsimulation Models of Continuous Flow Intersections | 24 microsimulation models of different CFI (Continuous Flow Intersection) geometries and pedestrian-bicycle crossing facilities. | Engineers | Brief | F |
| Cluster Analysis of Transit Agencies | Cluster analysis shows which transit agencies can be grouped as peers based on factors that influence transit ridership. | Transit agencies | Brief | G |
| Taxonomy of Shared Mobility Options for Healthcare | Taxonomy describes shared mobility options for accessing healthcare. | Transit agencies, ridehailing companies, paratransit providers, health care providers, insurers | Brief | G |
| Preliminary Headway Table for Traffic Simulation Software | Naturalistic Driving Study (NDS) work zone data was reused to develop new (or update existing) capacity and traffic flow models for work.zones. | State DOTs and local transportation agencies | Brief | B2 |
| Cooperative Bypassing Algorithm | An algorithm to control the autonomous and connected vehicles in a mixed traffic environment. | State DOTs and vehicle industry | Brief | O2 |
| Mixed Corridor Capacity Methodology | A methodology to determine the reaction time of autonomous vehicles and the penetration rate of autonomous vehicles. | State DOTs and vehicle industry | Brief | O2 |
| Transportation Network Design Methodology | A method to determine which roads should be built to ease congestion. | City planners | Brief | O2 |
| New Capacity Analysis Method for Ramp Weave Segments & Computational Engine to Exercise the Method | A new method for evaluating operations at freeway weaves that is simpler than the current HCM6 method, consistent across all freeway segment analyses, and adaptable to other types of weaves (B & C) and merge and diverge segments when recalibrated. | State DOTs, consultants, researchers who use HCM | Brief | K2 |
| Method for Extracting High Resolution Video Data | A method to use unmanned aircraft system (UAS), or drone, to collect video 400 feet above the highway, capturing a length of up to 3,000 feet of roadway. | Researchers | Brief | K2 |
| Accessibility Methodology | Method shows how easy or hard it is for low-income populations to access transit and access employment by transit from different locations (city center, suburban, rural). | Regional and local transit agencies, transportation planners, low-income populations | Brief | A2 |
| Ridership Model | Model shows how increasing or decreasing the number of bus trips on a route may affect the number of passengers. It also shows the difference in demographics among neighborhoods where transit ridership is declining the most. | Regional and local transit agencies | Brief | A2 |
| Geospatial Model | Model identifies gaps in transportation services for transportation disadvantaged (TD) populations. | Transit agencies, Transportation Network Companies (TNCs) | Brief | A2 |
| Transit User Demand Models for First/Last Mile Trips | Models show what factors influence individual’s use of TNC’s (ridesharing) in the first and last mile of travel. | Transit agencies, planners, Transportation Network Companies (TNCs) | Brief | F2 |
| Data-driven Approach for First/Last Mile Gaps | Approach reveals when and where service gaps occur that would benefit from new transit stations or micro-transit hubs. | Transit agencies, planners, Transportation Network Companies (TNCs) | Brief | F2 |
| Freeway Time-Dependent Incident Capacity Model | Model provides a more accurate estimate of how incidents, such as accidents, impact congestion on freeways. | State DOTs, MPOs, Cities and municipalities, researchers, FHWA Operations Group | Brief | I |
| Drone Perching Mechanism | Mechanism allows drones to land on vertical or horizontal steel surfaces. | U.S. DOT, State DOTs, FHWA | Brief | H2 |
| Real-Time Vehicle Location Model | Model calculates the exact location of vehicles using images captured from cameras mounted on drones. | U.S. DOT, State DOTs, FHWA | Brief | H2 |