RDE Fact Sheets and Presentations

The following describe RDE's content and services.
Two page fact sheet - "RDE at a Glance"
Release 2.0 fact sheets
Open Source Application Development Portal (OSADP)
The Prototype Open Source Application Development Portal (OSADP) is designed to enable stakeholders to collaborate and share insights, methods, and source code on a set of research projects sponsored by the USDOT Dynamic Mobility Applications program (DMA).

The Weather Data Environment (WxDE)
The Weather Data Environment (WxDE) is a research project that collects and shares transportation-related weather data with a particular focus on weather data related to connected vehicle applications. The WxDE collects data in real time from both fixed environmental sensor stations and mobile sources.

ITS Knowledge Resources
Intelligent transportation systems (ITS) provide a proven set of strategies for advancing transportation safety, mobility, and environmental sustainability by integrating communication and information technology applications into the management and operation of the transportation system across all modes. ITS Knowledge Resources - benefits, costs, deployment levels, and lessons learned regarding ITS deployment and operations.

Archived Data User Service (ADUS)
The Archived Data User Service (ADUS) provides the National Intelligent Transportation Systems (ITS) Architecture with the requirements for archiving and re-use of data collected for ITS operations. This FHWA website provides a wealth of information related to ITS and traffic related data.

Data.gov
The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.

US DOT ITS JPO
The US Department of Transportation (US DOT) Intelligent Transportation Systems (ITS) Joint Program Office (JPO) home page.

National Transit Database
The National Transit Database (NTD) is the Federal Transit Administration's (FTA) national database of statistics for the transit industry. The NTD is composed of data reported by more than 600 transit agencies across the US. The data are then analyzed and compiled into reports published by FTA and made available to the public on the NTD Program website.

Traffic Volume Trends
Traffic Volume Trends is a monthly report based on hourly traffic count data reported by the States. These data are collected at approximately 4,000 continuous traffic counting locations nationwide and are used to estimate the percent change in traffic for the current month compared with the same month in the previous year. Estimates are re-adjusted annually to match the vehicle miles of travel from the Highway Performance Monitoring System and are continually updated with additional data.

Transportation Analysis and Simulation System (TRANSIMS)
The Transportation Analysis and Simulation System (TRANSIMS), is an integrated set of tools developed to conduct regional transportation system analysis. An open source community has been developed as an independent and self-governing collaboration of TRANSIMS users, researchers and developers. A web-based infrastructure provides access to TRANSIMS core assets (software, data sets and documentation) and supports community interaction. Members collaborate by sharing code, enhanced documentation and proven data sets back into a public clearinghouse.

TranStats - Multimodal Transportation Database
TranStats provides one-stop shopping for intermodal transportation data. It has a searchable index of more than 100 databases covering every mode of transportation, plus social and demographic data commonly used in transportation research.

National Transit Map (Data, Maps and Apps)
The National Transit Map is a nationwide catalog of fixed-guideway and fixed-route transit service in America that is gleaned from publically available information. A geospatial database is included that can be used to display transit agencies' stops, routes, and schedules for the purpose of supporting research, analysis, and planning.

Traffic Regime Predictor Algorithm
The Traffic Regime Predictor Algorithm makes use of Open Source Apache Spark distributed computing and machine learning resources to predict traffic regime states in an 100 ft x 100 ft grid across a traffic network every minute an hour ahead of time using Basic Safety Messages (BSM), prototype Dynamic Interrogative Data Capture (DIDC) controlled Basic Mobility Messages (BMM) or other connected vehicle data with the required elements.