Research
ONGOING RESEARCH
- Tools for Tactical Decision-Making/Advancing Methods for Predicting Performance
- Application of ATDM Tools for Tactical and Strategic Decision Making for Operations and Development of Multi-Objective Framework
- NCHRP (03-114) ATM Planning and Evaluation
Tools for Tactical Decision-Making/Advancing Methods for Predicting Performance
The objective of this study is to analyze the approaches and requirements for forecasting transportation conditions and predicting system performance to support real-time performance-based management. The concept is for the TMCs to have a comprehensive view of the transportation system in real time and use that view to predict how the system will behave (i.e., the performance of the transportation system) within, say, the next 20 minutes, 30 minutes, an hour. If the predicted performance over that time doesn't meet the desired performance target, the TMC operator/manager can pro-actively implement operational strategies/solutions or actions to influence and alter the future performance in a favorable manner to align with the performance objectives/goals. These actions may include providing real-time information about the predicted conditions to travelers, implementing operational strategies such as congestion pricing, parking information/restrictions, hard shoulder use, speed harmonization, ramp metering and control, optimizing traffic signal timing, changing transit frequency, adjusting the mix of transit services, etc.
Application of ATDM Tools for Tactical and Strategic Decision Making for Operations and Development of Multi-Objective Framework
The primary purpose of this task order is to help fill a gap in understanding traveler decision making, which is critical to the success of ATDM applications. A better fundamental understanding of driver behavior decisions and responses will lead to more effective and successful ATDM deployments that will in turn lead to more impactful benefits in mobility, safety, and the environment, particularly when needed most during non-recurring conditions. The objectives of this task order are to: better understand traveler strategic and tactical decision making, understand the motivation(s) behind traveler behaviors and decisions, develop approaches to overcome resistance to change, and enable the findings to be incorporated into ATDM guidance and outreach materials, as well as into Analysis, Modeling, and Simulation (AMS) tools. This project will develop a multi-objective Framework for tradeoff analysis. The Framework will contain the concept, high-level functional requirements, and the structure so that it can be used for future tool development.
NCHRP (03-114) ATM Planning and Evaluation
The objective of NCHRP 03-114 is to develop a guide to planning and evaluating active traffic management (ATM) for recurrent and non-recurrent conditions. The final product should become the primary reference on ATM and serve as an essential resource for those agencies considering ATM in their jurisdiction. It should be applicable to practitioners at all levels of experience with traffic management and be used to support informed decision making.
Completed Research
- Active Transportation and Demand Management (ATDM) Trajectory Level Validation
- Analysis, Modeling, and Simulation (AMS) Testbed Planning for the Dynamic Mobility Applications (DMA) and ATDM Programs
- Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation for the Dynamic Mobility Applications (DMA) and ATDM Programs
- Active Traffic Management Signage Study
- Decision Support Framework and Parameters for Dynamic Part-Time Shoulder Use: Considerations for Opening Freeway Shoulders for Travel as a Traffic Management Strategy (FHWA-HOP-19-029) (PDF 6.7MB)
- Traffic Management Capability Maturity Framework Tool
- Shoulder Use Safety Analysis, Research Phase 1
- Shoulder Use Safety Analysis, Research Phase 2
- High Occupancy Vehicle (HOV)/Managed Use Lane (MUL) Pooled-Fund Study (PFS)
- Guidance on Part-Time Shoulder Use
- Active Traffic Management (ATM) Feasibility and Screening
Active Transportation and Demand Management (ATDM) Trajectory Level Validation
- State of Practice Review (FHWA-JPO-14-193) (PDF 3.7MB)
- A Framework for Validating Traffic Simulation Models at the Vehicle Trajectory Level (FHWA-JPO-16-405) (PDF 4.3 MB)
- Proof of Concept for the Trajectory-Level Validation Framework for Traffic Simulation Models (FHWA-JPO-16-407) (PDF 5.8 MB)
- Instrumented Vehicle Trajectory Dataset from Emeryville, CA (Metadata, diagrams, instrumented vehicle trajectories, shapefiles, radar trajectories, rad radar data, and driver log)
Analysis, Modeling, and Simulation (AMS) Testbed Planning for the Dynamic Mobility Applications (DMA) and ATDM Programs
- Testbed Initial Screening Report (FHWA-JPO-13-094) (PDF 2.3MB)
- Testbed Framework for Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs (FHWA-JPO-13-095) (PDF 1.2MB)
- Testbed Preliminary Evaluation Plan for Active Transportation and Demand Management (ATDM) Program (FHWA-JPO-13-096) (PDF MB)
- Preliminary Evaluation Plan for Dynamic Mobility Applications (DMA) Program (FHWA-JPO-13-097) (PDF 856KB)
- Testbed Requirements for Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs (FHWA-JPO-13-098) (PDF 2.7MB)
- ATDM Foundational Research: Analysis, Modeling, and Simulation (AMS) Concept of Operations (FHWA-JPO-13-020) (PDF 2.2MB)
- ATDM Foundational Research: AMS Capabilities Assessment (FHWA-JPO-13-021) (PDF 2.8MB)
- ATDM Foundational Research: AMS Analysis Plan (FHWA-JPO-13-022) (PDF 3.2MB)
- ATDM HCM Analysis Methodology Research
- Shoulder Lane Usage Summary (Efficient Use of Highway Capacity Summary – Report to Congress (FHWA-HOP-10-023))
Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation for the Dynamic Mobility Applications (DMA) and ATDM Programs
- AMS Testbed Detailed Requirements (FHWA-JPO-16-369) (PDF 0.4MB)
- AMS Testbed Selection Report (FHWA-JPO-16-355) (PDF 1.8MB)
- San Mateo Testbed Analysis Plan (FHWA-JPO-16-370) (PDF 2.5MB)
- Pasadena Testbed Analysis Plan (FHWA-JPO-16-371) (PDF 5.4MB)
- Dallas Testbed Analysis Plan (FHWA-JPO-16-373) (PDF 2.4MB)
- Chicago Testbed Analysis Plan (FHWA-JPO-16-374) (PDF 4.6MB)
- San Diego Testbed Analysis Plan (FHWA-JPO-16-375) (PDF 10.2MB)
- AMS Evaluation Plan (FHWA-JPO-16-376) (PDF 2.1MB)
- San Mateo Testbed Calibration Report (FHWA-JPO-16-377) (PDF 3.0MB)
- Pasadena Testbed Calibration Report (FHWA-JPO-16-378) (PDF 3.9MB)
- Phoenix Testbed Calibration Report (FHWA-JPO-16-379) (PDF 5.4MB)
- Dallas Testbed Calibration Report (FHWA-JPO-16-380) (PDF 7.1MB)
- Chicago Testbed Calibration Report (FHWA-JPO-16-381) (PDF 4.2MB)
- San Diego Testbed Calibration Report (FHWA-JPO-16-382) (PDF 19.8MB)
- Chicago Testbed Evaluation Report (FHWA-JPO-16-387) (PDF 8.8 MB)
- Chicago Testbed Evaluation Summary (FHWA-JPO-16-388 (PDF 1.3MB)
- San Diego Testbed Evaluation Report (FHWA-JPO-16-389) (PDF 13.4MB)
- San Diego Testbed Evaluation Summary (FHWA-JPO-16-390) (PDF 0.5MB)
- Evaluation Report for DMA Program (FHWA-JPO-16-383) (PDF 8.2MB)
- Evaluation Summary for DMA Program (FHWA-JPO-16-384) (PDF 0.6MB)
- Evaluation Report for ATDM Program (FHWA-JPO-16-385) (PDF 20.4MB)
- Evaluation Summary for ATDM Program (FHWA-JPO-16-386) (PDF 0.6MB)
- AMS Gaps, Challenges, and Future Research (FHWA-JPO-16-391) (PDF 2.4MB)
- Leveraging AMS Testbed Outputs for ATDM Analysis – A Primer (FHWA-JPO-18-608) (PDF 2.5MB)
- DMA Webinar Series: AMS Testbed Project
- Presentation Material (PDF 1.7MB)
- Webinar Recording (2/26/2015)
- Repository & Open Science Access Portal (ROSA-P)
- AMS San Mateo Testbed data environment
- AMS Phoenix Testbed data environment
- AMS Dallas Testbed data environment
- AMS Chicago Testbed data environment
- AMS Pasadena Testbed data environment (Simulation data)
- AMS Pasadena Testbed data environment (Main data)
- AMS Pasadena Testbed data environment (Precipitation data)
- AMS San Diego Testbed data environment (Simulation data)
- AMS San Diego Testbed data environment (Rest of data)
- ITS Code Hub (home page)
- Intelligent Network Flow Optimization (INFLO) AMS Application for Vissim (developed for San Mateo testbed)
- Dynamic Ride Sharing (D-RIDE) AMS application v1.0 (developed for the Phoenix testbed)
- Dynamic Traffic Assignment Lite (DTALite) AMS application v1.0 (developed for the Phoenix testbed)
- Dynamic Intermodal Routing Environment for Control and Telematics (DIRECT) AMS application v1.0 (developed for the Dallas testbed)
- Trajectory Conversion Algorithm (TCA) software for Aimsun (AMS_TCA_Aimsun_v1) (developed for the San Diego testbed)
- Cooperative Adaptive Cruise Control for Aimsun (AMC-CACC-Aimsun-v1) (developed for the San Diego testbed)
- Intelligent Network Flow Optimization (INFLO) AMS application for Aimsun v1.0 (developed for the San Diego testbed)