Layers:

Layer: Weigh-in-Motion_(WIM)_Stations (5)


Name: Weigh-in-Motion_(WIM)_Stations

Display Field: station_id

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: The Weigh-in-Motion (WIM) Stations dataset was retrieved on October 10, 2024 from the Federal Highway Administration (FHWA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data included in this database is provided by the Federal Highway Administration (FHWA) for Weigh-in-Motion (WIM), and can be found via the FHWA Weight Station Map (https://doi.org/10.21949/7e9e-gw75). WIM is a primary technology used for monitoring vehicle weights and axle loads on roadways. Weighing vehicles in motion is done by capturing data as vehicles drive over sensors installed in a roadway or under a bridge. Traffic loading data is collected for each vehicle that passes over a WIM sensor and includes wheel (single or dual tires) loads, axle loads, and gross vehicle weights (GVW). In addition, WIM sensors collect traffic volume, axle spacings, vehicle classification, and speed data. For more information and guides about WIM stations, please navigate to https://www.fhwa.dot.gov/policyinformation/knowledgecenter/wim_guide/.

Copyright Text: Acknowledgment of the Federal Highway Administration (FHWA) and Bureau of Transportation Statistics (BTS) [distributor].

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Max Record Count: 2000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

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Name: Weigh-in-Motion_(WIM)_Stations
Description:
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Prototype:

Attributes:


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Last Edit Date: 12/30/2024 7:53:54 PM

Schema Last Edit Date: 12/30/2024 7:53:54 PM

Data Last Edit Date: 12/30/2024 7:53:54 PM

Layer: Travel_Monitoring_Analysis_System_Stations (6)


Name: Travel_Monitoring_Analysis_System_Stations

Display Field: Station_Id

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: The Travel Monitoring Analysis System (TMAS) - Stations dataset was compiled on December 31, 2023 and was published on July 22, 2024 from the Federal Highway Administration (FHWA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). Geospatial station data from the FHWA TMAS database contains latitude and longitude data from over 7,000 permanent (temporal data representing each time period) traffic monitoring sites in all 50 states plus DC. Data from these stations are submitted to FHWA every month and is a result of a long standing partnership between FHWA and the state DOTs.

Copyright Text: Acknowledgment of the Federal Highway Administration (FHWA) and Bureau of Transportation Statistics (BTS) [distributor].

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Max Record Count: 2000

Supported query Formats: JSON, geoJSON, PBF

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Last Edit Date: 12/30/2024 7:54:02 PM

Schema Last Edit Date: 12/30/2024 7:54:02 PM

Data Last Edit Date: 12/30/2024 7:54:02 PM

Layer: Navigable_Waterway_Network_Nodes (7)


Name: Navigable_Waterway_Network_Nodes

Display Field: PORT_NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

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Last Edit Date: 12/30/2024 7:54:16 PM

Schema Last Edit Date: 12/30/2024 7:54:16 PM

Data Last Edit Date: 12/30/2024 7:54:16 PM

Layer: Intermodal_Freight_Facilities_Rail_TOFC_COFC (8)


Name: Intermodal_Freight_Facilities_Rail_TOFC_COFC

Display Field: TERMINAL

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: The Intermodal Freight Facilities - Rail TOFC/COFC dataset was compiled on December 10, 2018 and was updated on July 22, 2022 from the Bureau of Transportation Statistics (BTS), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). When available, the primary sources for this dataset were the websites of the railroads. Every facility is assumed to be served by both rail and truck, and those facilities which support port operations, the name of the port is also identified. The dataset also includes the services provided at each facility (TOFC only, COFC only, or both TOFC and COFC), and the Station Point Location Code (SPLC) associated with the rail facility. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.

Copyright Text: Acknowledgment of the Bureau of Transportation Statistics (BTS).

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Name: Intermodal_Freight_Facilities_Rail_TOFC_COFC
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Last Edit Date: 12/30/2024 7:54:31 PM

Schema Last Edit Date: 12/30/2024 7:54:31 PM

Data Last Edit Date: 12/30/2024 7:54:31 PM

Layer: Intermodal_Freight_Facilities_Pipeline_Terminals (9)


Name: Intermodal_Freight_Facilities_Pipeline_Terminals

Display Field: COMP_NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: The Intermodal Freight Facilities - Pipeline Terminals dataset was compiled on February 02, 2021 and was updated on April 21, 2021 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). Pipeline terminals interface between pipeline mode and other transportation modes. They have the ability to receive or deliver freight commodities via pipeline and truck/rail/water. The data consists of location information, truck/rail/water mode connections, storage capacity, and a list of commodities handled at the terminal. Geographical coverage includes the United States and U.S. territories. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.

Copyright Text: Acknowledgment of the Bureau of Transportation Statistics (BTS).

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Last Edit Date: 12/30/2024 7:54:37 PM

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Data Last Edit Date: 12/30/2024 7:54:37 PM

Layer: Intermodal_Freight_Facilities_Marine_Roll-on_Roll-off (10)


Name: Intermodal_Freight_Facilities_Marine_Roll-on_Roll-off

Display Field: PORT

Type: Feature Layer

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Description: The Intermodal Freight Facilities - Marine Roll-on/Roll-off dataset was compiled on July 01, 2019 and was updated on July 22, 2022 from the Bureau of Transportation Statistics (BTS), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). When available, primary sources for this dataset were the websites of the ports, as well as port operators. Every facility is associated with a port and assumed to be served by both marine and truck, and those facilities which support rail operations, the reporting code for the operating rail company is also identified. The dataset also includes at least one Navigation Unit ID (NAV_UNIT_ID) from the U.S. Army Corps of Engineers (USACE) Port Facilities dataset which is associated with the Ro/Ro terminal. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.

Copyright Text: Acknowledgment of the Bureau of Transportation Statistics (BTS).

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Prototype:

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Last Edit Date: 12/30/2024 7:54:49 PM

Schema Last Edit Date: 12/30/2024 7:54:49 PM

Data Last Edit Date: 12/30/2024 7:54:49 PM

Layer: Intermodal_Freight_Facilities_Air-to-Truck (11)


Name: Intermodal_Freight_Facilities_Air-to-Truck

Display Field: LOCID

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: The Intermodal Freight Facilities - Air-to-Truck dataset was compiled on January 15, 2019 and was updated on February 24, 2020 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset includes air to truck intermodal freight facilities for the top 60 airports by total freight moved in 2017. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.

Copyright Text: Acknowledgment of the Bureau of Transportation Statistics (BTS).

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Last Edit Date: 12/12/2024 3:36:38 PM

Schema Last Edit Date: 12/12/2024 3:36:38 PM

Data Last Edit Date: 12/12/2024 3:36:38 PM

Layer: Navigable_Waterway_Network_Lines (12)


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Copyright Text:

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Description:
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Prototype:

Attributes:


Is Data Versioned: false

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Last Edit Date: 12/27/2024 6:37:37 PM

Schema Last Edit Date: 12/27/2024 6:37:37 PM

Data Last Edit Date: 12/12/2024 3:36:50 PM

Layer: Marine_Highways (13)


Name: Marine_Highways

Display Field: ww_name

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description: The Marine Highways dataset was created on June 15, 2016 and was updated on September 16, 2024 by the U.S. Maritime Administration (MARAD) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). MARAD's Marine Highway Program is a Maritime Administration led program to expand the use of our Nation's navigable waterways to relieve landside congestion, reduce air emissions, and generate other public benefits by increasing the efficiency of the surface transportation system (https://www.maritime.dot.gov/grants/marine-highways/marine-highway). This dataset contains the locations of all 31 maritime routes that have been designated as Marine Highways by the Secretary of U.S. DOT and contain 2022 tonnage values from the US Army Corps of Engineers (USACE). Routes included in this dataset are diagrammatic and may not depict all waterways and port connectors that are considered to be part of the U.S. Marine Highway System.

Copyright Text: Acknowledgment of the U.S. Maritime Administration’s (MARAD) Office of Policy and Plans, and the Office of Marine Highways and Passenger Services, the U.S. Army Corps of Engineers, and the Bureau of Transportation Statistics (BTS) [distributor].

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Last Edit Date: 12/30/2024 7:55:56 PM

Schema Last Edit Date: 12/30/2024 7:55:56 PM

Data Last Edit Date: 12/30/2024 7:55:56 PM

Layer: Ports_and_Port_Statistical_Areas (14)


Name: Ports_and_Port_Statistical_Areas

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Copyright Text:

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Last Edit Date: 12/27/2024 6:35:31 PM

Schema Last Edit Date: 12/27/2024 6:35:31 PM

Data Last Edit Date: 12/12/2024 3:36:58 PM