5 datasets found
  1. d

    Data from: Analysis of intelligent vehicle technologies to improve...

    • search.dataone.org
    • rosap.ntl.bts.gov
    • +2more
    Updated Nov 29, 2023
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    Ivan Runhua Xiao; Xiaodong Qian (2023). Analysis of intelligent vehicle technologies to improve vulnerable road users safety at signalized intersections [Dataset]. http://doi.org/10.25338/B8234N
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    Dataset updated
    Nov 29, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    Ivan Runhua Xiao; Xiaodong Qian
    Time period covered
    Jan 1, 2022
    Description

    The project needs data for macroscopic statistical modeling, which are OTS rankings and historical crash data. OTS crash ranking data California Office of Traffic Safety (OTS) provides a crash ranking dataset that was developed so that individual cities could compare their city’s traffic safety statistics to those of other cities with similar-sized populations. The OTS crash rankings are based on the Empirical Bayesian Ranking Method. It adds weights to different crash statistical categories including observed crash counts, population and daily vehicle miles traveled (DVMT). In addition, the OTS crash rankings include different types of crashes with larger percentages of total victims and areas of focus for the OTS grant program. In conjunction with the research context, two types of crash rankings are focused on, namely pedestrians and bicyclists. SWITRS crash data The Transportation Injury Mapping System (TIMS) to provide the project quick, easy, and free access to California crash d...

  2. d

    Military Bases

    • catalog.data.gov
    • datasets.ai
    • +4more
    Updated Nov 19, 2024
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    Office of the Assistant Secretary of Defense for Energy, Installations, and Environment (Point of Contact) (2024). Military Bases [Dataset]. https://catalog.data.gov/dataset/military-bases1
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    Dataset updated
    Nov 19, 2024
    Dataset provided by
    Office of the Assistant Secretary of Defense for Energy, Installations, and Environment (Point of Contact)
    Description

    The Military Bases dataset was last updated on October 23, 2024 and are defined by Fiscal Year 2023 data, from the Office of the Assistant Secretary of Defense for Energy, Installations, and Environment and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The dataset depicts the authoritative locations of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas world-wide. These sites encompass land which is federally owned or otherwise managed. This dataset was created from source data provided by the four Military Service Component headquarters and was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program within the Office of the Assistant Secretary of Defense for Energy, Installations, and Environment. Only sites reported in the BSR or released in a map supplementing the Foreign Investment Risk Review Modernization Act of 2018 (FIRRMA) Real Estate Regulation (31 CFR Part 802) were considered for inclusion. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities. For inventory purposes, installations are comprised of sites, where a site is defined as a specific geographic location of federally owned or managed land and is assigned to military installation. DoD installations are commonly referred to as a base, camp, post, station, yard, center, homeport facility for any ship, or other activity under the jurisdiction, custody, control of the DoD. While every attempt has been made to provide the best available data quality, this data set is intended for use at mapping scales between 1:50,000 and 1:3,000,000. For this reason, boundaries in this data set may not perfectly align with DoD site boundaries depicted in other federal data sources. Maps produced at a scale of 1:50,000 or smaller which otherwise comply with National Map Accuracy Standards, will remain compliant when this data is incorporated. Boundary data is most suitable for larger scale maps; point locations are better suited for mapping scales between 1:250,000 and 1:3,000,000. If a site is part of a Joint Base (effective/designated on 1 October, 2010) as established under the 2005 Base Realignment and Closure process, it is attributed with the name of the Joint Base. All sites comprising a Joint Base are also attributed to the responsible DoD Component, which is not necessarily the pre-2005 Component responsible for the site.

  3. Auto Sales

    • catalog.data.gov
    • data.virginia.gov
    Updated Jan 2, 2025
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    Bureau of Transportation Statistics (2025). Auto Sales [Dataset]. https://catalog.data.gov/dataset/auto-sales
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    Dataset updated
    Jan 2, 2025
    Dataset provided by
    Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
    Description

    Autos include all passenger cars, including station wagons. The U.S. Bureau of Economic Analysis releases auto and truck sales data, which are used in the preparation of estimates of personal consumption expenditures.

  4. National Transportation Database Hazardous Material Routes

    • gis-fema.hub.arcgis.com
    Updated Jul 24, 2016
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    FEMA (2016). National Transportation Database Hazardous Material Routes [Dataset]. https://gis-fema.hub.arcgis.com/documents/5753b1edc63e4c278e8ccad7a1371b17
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    Dataset updated
    Jul 24, 2016
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    Authors
    FEMA
    Description

    This link provides information and additional metadata related to the 2015 National Transportation Database's Hazardous Materials Routes. A direct shapefile download is available at http://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/files/AdditionalAttachmentFiles/hazmat_0.zip

  5. K

    Hazmat Routes

    • koordinates.com
    • datadiscoverystudio.org
    csv, dwg, geodatabase +6
    Updated Aug 8, 2006
    + more versions
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    US Bureau of Transportation Statistics (BTS) (2006). Hazmat Routes [Dataset]. https://koordinates.com/layer/22707-hazmat-routes/
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    pdf, kml, mapinfo mif, geodatabase, dwg, shapefile, csv, mapinfo tab, geopackage / sqliteAvailable download formats
    Dataset updated
    Aug 8, 2006
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    The Federal Motor Carrier Safety Administration (FMCSA) Hazardous Material Routes were developed using the 2004 First Edition TIGER/Line files. The routes are described in the National Hazardous Material Route Registry (NMHRR). The on-line NMHRR linkage is http://hazmat.fmcsa.dot.gov/nhmrr/index.asp With the exception of 13 features that were not identified with the Tiger/Lines, Hazmat routes were created by extracting the TIGER/Line segments that corresponded to each individual route. Hazmat routes in the NTAD, are organized into 3 database files, hazmat.shp, hmroutes.dbf, and hmstcnty.dbf. Each record in each database represents a unique Tiger/Line segment. These Tiger/Line segments are grouped into routes identified as character strings in the ROUTE_ID field in the hmroutes.dbf table. The route name appearing in the ROUTE_ID is assigned by FMCSA and is unique for each State [this sentence could be deleted - it doesn't add a lot to it]. The hmstcnty.dbf table allows the user to select routes by State and County. A single shapefile, called hazmat.shp, represents geometry for all routes in the United States.

    © The Federal Motor Carrier Safety Administration (FMCSA) This layer is sourced from maps.bts.dot.gov.

    The Federal Motor Carrier Safety Administration (FMCSA) Hazardous Material Routes (NTAD 2015) were developed using the 2004 First Edition TIGER/Line files. The routes are described in the National Hazardous Material Route Registry (NMHRR). The on-line NMHRR linkage is http://hazmat.fmcsa.dot.gov/nhmrr/index.asp With the exception of 13 features that were not identified with the Tiger/Lines, Hazmat routes were created by extracting the TIGER/Line segments that corresponded to each individual route. Hazmat routes in the NTAD, are organized into 3 database files, hazmat.shp, hmroutes.dbf, and hmstcnty.dbf. Each record in each database represents a unique Tiger/Line segment. These Tiger/Line segments are grouped into routes identified as character strings in the ROUTE_ID field in the hmroutes.dbf table. The route name appearing in the ROUTE_ID is assigned by FMCSA and is unique for each State [this sentence could be deleted - it doesn't add a lot to it]. The hmstcnty.dbf table allows the user to select routes by State and County. A single shapefile, called hazmat.shp, represents geometry for all routes in the United States.

    © The Federal Motor Carrier Safety Administration (FMCSA)

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Ivan Runhua Xiao; Xiaodong Qian (2023). Analysis of intelligent vehicle technologies to improve vulnerable road users safety at signalized intersections [Dataset]. http://doi.org/10.25338/B8234N

Data from: Analysis of intelligent vehicle technologies to improve vulnerable road users safety at signalized intersections

Related Article
Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 29, 2023
Dataset provided by
Dryad Digital Repository
Authors
Ivan Runhua Xiao; Xiaodong Qian
Time period covered
Jan 1, 2022
Description

The project needs data for macroscopic statistical modeling, which are OTS rankings and historical crash data. OTS crash ranking data California Office of Traffic Safety (OTS) provides a crash ranking dataset that was developed so that individual cities could compare their city’s traffic safety statistics to those of other cities with similar-sized populations. The OTS crash rankings are based on the Empirical Bayesian Ranking Method. It adds weights to different crash statistical categories including observed crash counts, population and daily vehicle miles traveled (DVMT). In addition, the OTS crash rankings include different types of crashes with larger percentages of total victims and areas of focus for the OTS grant program. In conjunction with the research context, two types of crash rankings are focused on, namely pedestrians and bicyclists. SWITRS crash data The Transportation Injury Mapping System (TIMS) to provide the project quick, easy, and free access to California crash d...

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