(This page is maintained for archival purposes.)
| Product | Description | Users | Product Brief | Project |
|---|---|---|---|---|
| Framework and web-based interface for collecting Google Location History (GLH) data | The interface allows participants to securely share their data. | Researchers and Practitioners who need detailed trip location data | Archived Brief | A |
| Method to Predict Driver Diversion Rates | The new method predicts the diversion rates under various traffic and incident conditions using data commonly available to traffic management agencies. | Traffic management agencies; drivers | Archived Brief | A |
| Simulation extension with CAV functionality for VISSIM | The extension evaluates how CAVs may impact traffic management and emissions when operating alongside conventional vehicles. | CAV research community, State DOTs, FHWA | Archived Brief | D |
| 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 | Archived Brief | B |
| Framework and Methods to use CV data for estimating performance measurements. | 1. Framework to estimate mobility, reliability, and environmental metrics 2. Methods to estimate new mobility and safety metrics 3. Method to estimate pollutant emission. | transportation system management and operations (TSM&O) programs; Traffic management centers (TMCs); planning organizations; transportation system decision makers | Archived Brief | C |
| Microsimulation Models of Continuous Flow Intersection (CFI) designs | 24 scenarios were developed representing different geometries and pedestrian-bicycle crossing scenarios. The microsimulations can be run in VISSIM. | Engineers; Pedestrians and bicyclists | Archived 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 | Archived 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 | Archived Brief | G |
| Small Urban & Rural Area Congestion Mitigation Toolkit | A web-based repository provides resources on strategies to reduce congestion in small urban and rural areas. | Professionals in agencies in areas with population of 50,000 and below that face congestion problems. | Archived Brief | H |
| 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 | Archived Brief | I |
| Improvements to traffic simulation models of freeway work zones | Using field data, parameters that reflected traffic in rural freeway work zones were defined for the VISSIM model. | Transportation agencies planning and designing work zones on freeways, Traffic simulation modelers | Archived Brief | J |
| 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 | Archived 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 | Archived Brief | A2 |
| Geospatial Model | Model identifies gaps in transportation services for transportation disadvantaged (TD) populations. | Transit agencies, Transportation Network Companies (TNCs) | Archived Brief | A2 |
| 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 | Archived Brief | B2 |
| City-level summary of off-street freight loading zone requirements | Benchmarks provide information on freight loading zone practices in other communities | Land use planners, Local and state transportation planners, Local businesses | Archived Brief | C2 |
| Autonomous Vehicle User Perception Survey (AVUPS) | Survey assesses participants’ intentions to use AV technology based on their perceptions of safety, trust, perceived usefulness, control/driving efficacy, and external variables. | Engineers, city planners, policy makers; Healthcare professionals; AV industry | Archived Brief | D2 |
| Autonomous Simulation Scenario | The simulation provides an experience of riding in an autonomous vehicle comparable to a real-life experience. | Engineers, city planners, policy makers; Healthcare professionals; AV industry | Archived Brief | D2 |
| Travel Behavior Questionnaire | The questionnaire evaluates travel behavior among different population cohorts. | Regional transit authorities, Transportation professionals, Researchers | Archived Brief | E2 |
| 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) | Archived Brief | F2 |
| 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) | Archived Brief | F2 |
| AI-based work zone traffic and driver behavior information extraction system | An AI-based system for extracting real-world data from traffic cameras that can improve the accuracy of work zone simulations. | Transportation agencies (counties and cities with limited resources) | Archived Brief | G2 |
| Drone Perching Mechanism | Mechanism allows drones to land on vertical or horizontal steel surfaces. | U.S. DOT, State DOTs, FHWA | Archived 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 | Archived Brief | H2 |
| TNC Simulation Models | The models evaluate the impact of TNCs on transit and automobile usage | Transportation agencies, MPOs, Transit authorities, TNC providers, planners, researchers | Archived Brief | I2 |
| 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 | Archived Brief | K2 |
| 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 | Archived Brief | K2 |
| Methods to Optimize Traffic Signal Timing | 1. Hybrid machine learning and fuzzy logic model for signal timing selection under non-recurrent conditions 2. Multi-objective optimization methods to select signal timing plans under congestion conditions. | State and local transportation agencies | Archived Brief | M2 |
| Cooperative Bypassing Algorithm | An algorithm to control the autonomous and connected vehicles in a mixed traffic environment. | State DOTs and vehicle industry | Archived 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 | Archived Brief | O2 |
| Transportation Network Design Methodology | A method to determine which roads should be built to ease congestion. | City planners | Archived Brief | O2 |
| Spatiotemporal Methodology to Compare Travel Characteristics for Low-Income and High-Income Populations | A methodology to show how people in transportation disadvantaged households and residing in urban, suburban, and rural locations travel. | Transportation disadvantaged households, Transit agencies, cities, MPOs, Departments of Transportation | Archived Brief | C3 |
| Web Mapping Tool | The tool calculates delay time and the relative costs of delays school and public transit buses experience due to congestion. | Transit Agencies, School Districts, Municipalities, Regional Planners | Archived Brief | E3 |
| Methods to Identify and Mitigate Congestion Onset | Three tools for identifying when incidents or congestion occurs on freeways and arterials. | System managers, drivers | Archived Brief | J3 |
| Automatic Safety Diagnosis System for the Connected-vehicle Environment (ASDSCE) | A warning system, designed for connected vehicles, alerts drivers of potential collisions and remains operational even if the car's sensors are not working properly. | Departments of Transportation, Automotive industry | Archived Brief | F4 |
| Planning for Urban Freight: Putting it into Practice | This infographic summarizes key challenges related to small package delivery. | Planners, freight industry, managers of curb space | Archived Infographic | J6 |
| South Carolina Bicycle and Pedestrian Clearinghouse | The online clearinghouse is a comprehensive resource on multimodal solutions in SC. | SC transportation and planning agencies, advocacy groups, general public | Archived Brief |