Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


Posts Tagged ‘RDE

 

Research Data Exchange (RDE) Adds More Data Environments for Download!

December 1st, 2016 / in Announcements, research horizons, Research News / by Helen Wright

The Research Data Exchange (RDE) is a web-based data resource provided by the USDOT Intelligent Transportation Systems (ITS) Program. It collects, manages, and provides access to archived and real-time multi-source and multi-modal data to support the development and testing of ITS applications. The following new data environments are now available for download: Intelligent Network Flow Optimization Simulation (INFLO SIM) 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 scenarios runs of the SPD-HARM […]

New Connected Vehicle Data Environments from the Following Projects of the Dynamic Mobility Application (DMA) Program are Now Available in the Research Data Exchange

July 13th, 2016 / in Announcements / by Helen Wright

The Research Data Exchange (RDE) is a web-based data resource provided by the USDOT Intelligent Transportation Systems (ITS) Program. It collects, manages, and provides access to archived and real-time multi-source and multi-modal data to support the development and testing of ITS applications. The RDE now houses the following three additional data environments: Intelligent Network Flow Optimization (INFLO) The two prototyped INFLO applications (speed harmonization (SPD-HARM) and queue warning (Q-WARN)) were demonstrated from January 12 through January 16, 2015 on a segment of I-5 in Seattle, WA. The purpose of this project was to demonstration the functionality and performance of these two prototype applications in an operational traffic environment. The following […]

New Data Sets from the Next Generation Simulation (NGSIM) Program are Now Available in the Research Data Exchange

May 25th, 2016 / in Announcements, research horizons, Research News / by Helen Wright

The Research Data Exchange (RDE) is a web-based data resource provided by the USDOT Intelligent Transportation Systems (ITS) Program. It collects, manages, and provides access to archived and real-time multi-source and multi-modal data to support the development and testing of ITS applications. The RDE now houses four data sets from the Next Generation Simulation (NGSIM) Program. The NGSIM program was initiated by the United States Department of Transportation (USDOT) Federal Highway Administration (FHWA) to develop traveler behavioral algorithms that could be used in microscopic traffic simulation models. The validated data sets and documentation describing these algorithms which replicated the interactions of multimodal travelers, vehicles and highway systems (e.g., traffic control […]

New Connected Vehicle Data Sets from the Safety Pilot Model Deployment (SPMD) Program Are Now Available on the Research Data Exchange

January 20th, 2016 / in Announcements, Research News / by Helen Wright

The Research Data Exchange (RDE) is a web-based data resource provided by the USDOT Intelligent Transportation Systems (ITS) Program. It collects, manages, and provides access to archived and real-time multi-source and multi-modal data to support the development and testing of ITS applications. The RDE now houses two months of data from the Safety Pilot Model Deployment (SPMD) program. These sets of naturalistic driving data are a valuable resource for researchers and application developers to support the development of the next generation of transportation solutions. The data sets contain sanitized mobility data elements collected from about 3000 vehicles equipped with connected vehicle technologies while traversing Ann Arbor, Michigan. These sets of […]