The RDE has added a number of new data environments that are available free to the public. 

The RDE is a web-based portal that provides access to archived and real-time multi-source and multi-modal data to support the development and testing of intelligent transportation system (ITS) related applications and transportation management operational strategies.

The following new data environments are now available for download: 

• Intelligent Network Flow Optimization (INFLO) Simulation is a VISSIM simulation model for the US 101 freeway corridor in San Mateo, CA. This model is used to assess the impacts of the INFLO Prototype Dynamic Speed Harmonization (SPD-HARM) application. This set of performance measure files was calculated based on the VISSIM outputs of 24 scenario runs of the SPD-HARM application. The models covered various market penetration rates, incident durations, and weather conditions.

• Seattle I-405 was generated by the Trajectory Conversion Algorithm Version 2.3 using the SAE J2735 Basic Safety Message (BSM) based on the I-405 corridor in Seattle, WA. This data environment was generated to provide data files for a variety of operational conditions, market penetrations, and communication strategies to examine the effectiveness of advanced analytical techniques in using connected vehicle data to predict congestion in a way that enables a transportation system manager to take steps to mitigate potential bottlenecks.

• Analysis, Modeling, and Simulation (AMS) San Mateo Testbed was used to model and simulate mobility applications including INFLO (queue warning, speed harmonization, and cooperative adaptive cruise control) and Multi-Modal Intelligent Traffic Signal Systems. Four baseline scenarios, combining different levels of demand, incident, and weather conditions, were used for testing the performance effects of these applications. They feature four types of datasets: Cluster Analysis Data, Calibration Data, Network Files, and Simulation Output.

• AMS Dallas Testbed was used to test several active transportation and demand management strategies including dynamic shoulder lane, dynamic signal timing, dynamic routing, ramp metering, and dynamic priced parking. The Testbed is developed using the DIRECT software (Dynamic Intermodal Routing Environment for Control and Telematics), which was developed by researchers at Southern Methodist University and features four types of datasets: Cluster Analysis Data, Calibration Data, Testbed Files, and Simulation Results.

The U.S. Department of Transportation's Intelligent Transportation Systems Joint Program Office funds the RDE to help facilitate the advancement of research, development, planning, testing, and deployment of connected vehicle and traveler-related applications and ITS.

Public agencies, service providers, researchers, application developers, and others are invited to visit the RDE website to explore the available data environments and resources. 

For more information about the RDE, please contact us.

*View this announcement on the ITS JPO website.*