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General

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Secure Data Commons - UseCaseCrossProjectAnalysis

Cross Project Analysis  

Identify Technologies and Systems to Enable Intra-Project Analysis and Scale to National Level 

A research program has identified internal DOT Researchers and external Partners (academia and other federal agencies) to share and analyze data from various grantees. SDC services helped support Researchers to conduct multiple data set analysis and develop general purpose code for data access across multiple projects. Research  Programs are enabled to focus on gaining strategic value and policy insights, as well increase ROI future large DOT grant deployments.

Why Should Your Research Program use SDC Services?

  • Set up for collaboration internally (DOT) and externally (academia and other federal agencies)
  • Scalable for data size and computational needs
  • Includes data science tools that can be extended and shared with partners
Last updated August 2022

Secure Data Commons - ProjSpotLightBTSWaze

BTS Partnership Plan on Incorporating SDC Waze Data 

 

Utilize SDC to build analytical weather-transportation modeling tools

The Bureau of Transportation Statistics (BTS) program has a need to identify congestion hotpots, flood impacts, and severe storm impacts to support the Emergency Planning Transportation Data Initiative and national highway traffic cluster analysis (Waze “Hot Spot” Analysis).  BTS utilized the Secure Data Commons (SDC) to build proofs-of-concept of analytical weather-transportation impacts.

Emergency Planning Transportation Data Initiative

The Emergency Planning Transportation Data Initiative is supported by a partnership between BTS and National Center for Atmospheric Research (NCAR). SDC provided support to Researchers conducting data integration on severe weather with the national transportation system, historical analysis and forecasting components, and post-op evaluation of dataset limitations/opportunities. This initiative was able to make discoveries useful for public safety and emergency evacuation preparedness at the multi-state scale. 

Waze “Hot Spot” Analysis

The Waze “Hot Spot” Analysis builds upon research Volpe has already conducted for the Safety Data Initiative. It includes the research evaluation of SDC Waze data, developing a proof of concept on a subset of the nation’s highway system data, and an experiment on predictive analysis on traffic forecasts. BTS Researchers were able work on machine learning and cluster analysis to evaluate options for creating a daily dashboard of “hot spots” of operational characteristics on the nation’s highway system: Congestion/traffic jam locations, Bottleneck sites, and Weather-related Road closures. 

Sponsor: Bureau of Transportation Statistics (BTS)
Last updated December 2022

Calculating Average Annual Fatality Rate for SS4A

This document provides instructions on how to obtain the necessary data and calculate the Average Annual Motor-Vehicle-Involved Roadway Fatalities 2018-2022 for inclusion in the Safe Streets and Roads for All (SS4A) grant application.

Eligible and Ineligible SS4A Implementation Grant Projects

This document addresses frequently asked questions about eligibility requirements for Safe Streets and Roads for All (SS4A) Implementation Grant projects.

Implementation Grants are one of two available grant categories under the SS4A program. Implementation Grants are for implementing...

Eligible and Ineligible SS4A Action Plans

This document addresses frequently asked questions about what types of Action Plans meet the eligibility requirements to apply for a Safe Streets and Roads for All (SS4A) Implementation Grant.

Comprehensive Safety Action Plans (Action Plans) are the basic building block to...