Transportation Secure Data Center

Fish, Joe; Gonder, Jeff; Garikapati, Venu; Cappellucci, Jeff; Borlaug, Brennan; Holden, Jake; Boyce, Leidy

doi:10.25984/1798334

Title: Transportation Secure Data Center

Dataset
Other Related Research

Abstract

The Transportation Secure Data Center (TSDC) provides free access to detailed transportation data from a variety of travel surveys and studies conducted across the nation. Data include global positioning system (GPS) readings for millions of miles of travel, along with vehicle characteristics and survey participant demographics. NREL screens the initial data for quality control, translates each data set into a consistent format, and interprets the data for spatial analysis. NREL's processing routines add information on vehicle fuel economy and road grades and join data points to the road network.

Authors:

;

; Boyce, Leidy

National Renewable Energy Laboratory (NREL)

Publication Date:: Sun Nov 01 00:00:00 EDT 2015

Other Number(s):: 4073

Research Org.:: DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory (NREL)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office (EE-3V)

Collaborations:: National Renewable Energy Laboratory (NREL)

Subject:: Array; Data center; MTSA; Metropolitan Travel Survey Archive; TSDC; U.S.; US; United States; characteristics; data; database; energy; fuel economy; gps; preprocessed data; processed data; raw data; road grades; road network; secure data; spatial analysis; survey; transportation; travel; travel mode; travel survey; vehicle; vehicle choice

OSTI Identifier:: 1798334

DOI:: https://doi.org/10.25984/1798334

Citation Formats


                    Fish, Joe, Gonder, Jeff, Garikapati, Venu, Cappellucci, Jeff, Borlaug, Brennan, Holden, Jake, and Boyce, Leidy. Transportation Secure Data Center.  United States: N. p., 2015. 
        Web.  doi:10.25984/1798334.

Copy to clipboard


                    Fish, Joe, Gonder, Jeff, Garikapati, Venu, Cappellucci, Jeff, Borlaug, Brennan, Holden, Jake, & Boyce, Leidy. Transportation Secure Data Center.  United States.  doi:https://doi.org/10.25984/1798334

Copy to clipboard


                    Fish, Joe, Gonder, Jeff, Garikapati, Venu, Cappellucci, Jeff, Borlaug, Brennan, Holden, Jake, and Boyce, Leidy. 2015.  
"Transportation Secure Data Center".  United States.  doi:https://doi.org/10.25984/1798334.  https://www.osti.gov/servlets/purl/1798334. Pub date:Sun Nov 01 00:00:00 EDT 2015

Copy to clipboard


                    
@article{osti_1798334,

  title        = {Transportation Secure Data Center},

  author       = {Fish, Joe and Gonder, Jeff and Garikapati, Venu and Cappellucci, Jeff and Borlaug, Brennan and Holden, Jake and Boyce, Leidy},

  abstractNote = {The Transportation Secure Data Center (TSDC) provides free access to detailed transportation data from a variety of travel surveys and studies conducted across the nation. Data include global positioning system (GPS) readings for millions of miles of travel, along with vehicle characteristics and survey participant demographics. NREL screens the initial data for quality control, translates each data set into a consistent format, and interprets the data for spatial analysis. NREL's processing routines add information on vehicle fuel economy and road grades and join data points to the road network.},

  doi          = {10.25984/1798334},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Nov 01 00:00:00 EDT 2015},

  month        = {Sun Nov 01 00:00:00 EDT 2015}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.25984/1798334

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Transportation Secure Data Center

Dataset Gonder, Jeff

The Transportation Secure Data Center (TSDC) at https//www.nrel.gov/tsdc provides free access to detailed transportation data from travel surveys and studies conducted across the nation. It features millions of data points including second-by-second GPS readings, vehicle characteristics, and demographics for all modes of travel. NREL screens the initial data for quality control, translates each data set into a consistent format, and interprets the data for spatial analysis. NREL processing routines add information on fuel economy and road grades and join data points to the road network. NREL maintains the TSDC in partnership with the U.S. Department of Transportation and the U.S.more »« less
Open-Source Data for MAC-POSTS: Mobility Data Analytics Center - Prediction, Optimization, and Simulation Toolkit for Transportation Systems

Dataset Qian, Sean ; Tao, Tao ; Liu, Jiachao

MAC-POSTS (Mobility Data Analytics Center - Prediction, Optimization, and Simulation toolkit for Transportation Systems) is a toolkit for dynamic transportation network modeling. Developed by the Mobility Data Analytics Center (MAC) at Carnegie Mellon University, this package implements many classic dynamic transportation network models, as well as new models proposed by MAC members. It has served as one building block for many other models and research projects. As such, this package used to be treated as an internal research project of the MAC lab, and admittedly, the code base is messy, and the interface is hard to use. However, we aremore »« less
Package Data for CERF-Data Centers

Dataset Mongird, Kendall

This dataset contains sample input 100m resolution raster files for running the CERF-DC python package (see https://github.com/IMMM-SFA/cerf_data_centers) at the state level across the CONUS. Due to data availability constraints, some of the items included in this dataset are proxies or assumptions for siting factors used in the model. These are individually noted in the item descriptions and can be exchanged with more detailed information upon availability. Data Descriptions The following raster files are included in the data download: state_siting_region.tif — State areas identified by state FIPS code composite_siting_suitability.tif — Value of 1 indicates suitable siting location, 0 otherwise. The following areasmore »« less
IM3 Open Source Data Center Atlas

Dataset Mongird, Kendall ; Thurber, Travis ; Vernon, Chris ; ...

IM3 Open Source Data Center Atlas Description This dataset contains locations of existing data center facilities in the United States. Data center locations were derived from OpenStreetMap (OSM), a crowd-sourced database. Data points from OSM are processed in various ways to determine additional variables provided in the data including: facility area (square feet), associated US county, and US state. This dataset can be used to identify areas of concentrated data center development and inform government and private sector planning strategies for future buildout of data centers and the infrastructure necessary to support it. Usage Notes Validation of OSM-derived data centermore »« less
IM3 Projected US Data Center Locations

Dataset Mongird, Kendall ; Burleyson, Casey ; Akdemir, Kerem Ziya ; ...

IM3 Projected US Data Center Locations This dataset contains model projections of new data center facilities in the contiguous United States (CONUS) through 2035 using the CERF – Data Centers model. Data center locations are modeled across four data center electricity demand growth scenarios (low, moderate, high, higher) and five market gravity scenarios (0%, 25%, 50%, 75%, 100%). Projected locations are intended to be regional representations of feasible siting locations in the future to assess potential grid and water stress impacts. The data center load growth scenarios correspond with the rates outlined in EPRI (2024) and include 3.71%, 5%, 10%, and 15% annualmore »« less

Similar Records