The dataset provides noise data to facilitate the tracking of trends in transportation-related noise. This dataset includes results from simplified noise modeling methods and should not be used to evaluate noise levels in individual locations. See the documentation for a full description of methodologies and assumptions: https://doi.org/10.21949/1519111 The 2016 National Transportation Noise Map dataset utilized transportation mode input data from 2016 in a model and is current as of October 2020, published by 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). Please see the website https://www.bts.gov/geospatial/national-transportation-noise-map, for downloads and more information about these datasets. For web services of these data, please navigate to https://geo.dot.gov/server/rest/services/Hosted and search for service names beginning with "Noise." Data within the National Transportation Noise Map represent potential noise levels across the nation for an average annual day for the specified year. These data are intended to facilitate the tracking of trends in transportation-related noise by mode collectively over time and should not be used to evaluate noise levels in individual locations and/or at specific times. This dataset is developed using a 24-hr equivalent A-weighted sound level (denoted by LAeq) noise metric. The results represent the approximate average noise energy due to transportation noise sources over a 24-hour period at the receptor locations where noise is computed. Layers include Aviation and Road Noise for the Lower 48 States as well as Alaska and Hawaii. The full listing can be found below. 2016 National Transportation Noise Alaska Alaska Aviation Noise Alaska Road and Aviation Noise Alaska Road Noise Lower 48 States (CONUS) Lower 48 States (CONUS) Aviation Noise Lower 48 States (CONUS) Road and Aviation Noise Lower 48 States (CONUS) Road Noise Hawaii Hawaii Aviation Noise Hawaii Road and Aviation Noise Hawaii Road Noise

The 2016 NCFO dataset is comprised of the responses of all operators who completed the 2016 NCFO. The dataset is made up of ferry operator, vessel, terminal and segment data for the 2015 calendar year.

This table shows the number and percent of people in the contiguous United States (excludes Alaska and Hawaii) potentially exposed to different levels of noise from combined aviation, road and passenger rail sources.

Freight Facts and Figures, developed by the Bureau of Transportation Statistics, is a collection of charts and statistical tables about freight transportation in the United States. These visualizations provide a snapshot of freight movement; the extent, condition, and performance of the freight transportation system; the economic characteristics of the transportation industry and its contribution to the U.S. economy; and the safety, energy, and environmental impacts of freight transportation.

The 2016 National Transportation Noise Map dataset utilized transportation mode input data from 2016 in a model and is current as of October 2020, published by 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). Please see the website https://www.bts.gov/geospatial/national-transportation-noise-map, for downloads and more information about these datasets. For web services of these data, please navigate to https://geo.dot.gov/server/rest/services/Hosted and search for service names beginning with "Noise." Please contact the NTAD Program Manager at ntad@dot.gov for any questions. Data within the National Transportation Noise Map represent potential noise levels across the nation for an average annual day for the specified year. These data are intended to facilitate the tracking of trends in transportation-related noise by mode collectively over time and should not be used to evaluate noise levels in individual locations and/or at specific times. This dataset is developed using a 24-hr equivalent A-weighted sound level (denoted by LAeq) noise metric. The results represent the approximate average noise energy due to transportation noise sources over a 24-hour period at the receptor locations where noise is computed. Layers include Aviation and Road Noise for the Lower 48 States as well as Alaska and Hawaii. The full listing can be found below. 2016 National Transportation Noise

      Alaska

             Alaska Aviation Noise
             Alaska Road and Aviation Noise
             Alaska Road Noise

      Lower 48 States (CONUS)

             Lower 48 States (CONUS) Aviation Noise
             Lower 48 States (CONUS) Road and Aviation Noise
             Lower 48 States (CONUS) Road Noise

      Hawaii

             Hawaii Aviation Noise
             Hawaii Road and Aviation Noise
             Hawaii Road Noise

Accident - (1975-current): This data file contains information about crash characteristics and environmental conditions at the time of the crash. There is one record per crash. FARS data are made available to the public in Statistical Analysis System (SAS) data files as well as Database Files (DBF). Over the years changes have been made to the type of data collected and the way the data are presented in the SAS data files. Some data elements have been dropped and new ones added, coding of individual data elements has changed, and new SAS data files have been created. Coding changes and the years for which individual data items are available are shown in the “Data Element Definitions and Codes” section of this document. The FARS Coding and Editing Manual contains a detailed description of each SAS data elements including coding instructions and attribute definitions. The Coding Manual is published for each year of data collection. Years 2001 to current are available at: http://www-nrd.nhtsa.dot.gov/Cats/listpublications.aspx?Id=J&ShowBy=DocType Note: In this manual the word vehicle means in-transport motor vehicle unless otherwise noted.

This layer is sourced from maps.bts.dot.gov.

This table shows the number and percent of people in the United States potentially exposed to different levels of noise from aviation sources.

This table shows the number and percent of people in the United States potentially exposed to different levels of noise from road sources.

Fatality Analysis Reporting System (FARS) was created in the United States by the National Highway Traffic Safety Administration (NHTSA) to provide an overall measure of highway safety, to help suggest solutions, and to help provide an objective basis to evaluate the effectiveness of motor vehicle safety standards and highway safety programs.

FARS contains data on a census of fatal traffic crashes within the 50 States, the District of Columbia, and Puerto Rico. To be included in FARS, a crash must involve a motor vehicle traveling on a trafficway customarily open to the public and result in the death of a person (occupant of a vehicle or a non-occupant) within 30 days of the crash. FARS has been operational since 1975 and has collected information on over 989,451 motor vehicle fatalities and collects information on over 100 different coded data elements that characterizes the crash, the vehicle, and the people involved.

FARS is vital to the mission of NHTSA to reduce the number of motor vehicle crashes and deaths on our nation's highways, and subsequently, reduce the associated economic loss to society resulting from those motor vehicle crashes and fatalities. FARS data is critical to understanding the characteristics of the environment, trafficway, vehicles, and persons involved in the crash.

NHTSA has a cooperative agreement with an agency in each state government to provide information in a standard format on fatal crashes in the state. Data is collected, coded and submitted into a micro-computer data system and transmitted to Washington, D.C. Quarterly files are produced for analytical purposes to study trends and evaluate the effectiveness highway safety programs.

Content

There are 40 separate data tables. You can find the manual, which is too large to reprint in this space, here.

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.nhtsa_traffic_fatalities.[TABLENAME]. Fork this kernel to get started.

Acknowledgements

This dataset was provided by the National Highway Traffic Safety Administration.

Traffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).

The 2016 NCFO dataset is comprised of the responses of all operators who completed the 2016 Census, reporting 2015 calendar year ferry operations. The NCFO Flat File includes all five data files: ferry operator, vessel, terminal, segment, and operator segment data files in a single dataset.

United States Waterborne Freight data was reported at 2,292.044 Short Ton mn in 2016. This records an increase from the previous number of 2,279.000 Short Ton mn for 2015. United States Waterborne Freight data is updated yearly, averaging 2,333.142 Short Ton mn from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 2,588.400 Short Ton mn in 2006 and a record low of 2,092.106 Short Ton mn in 1991. United States Waterborne Freight data remains active status in CEIC and is reported by Bureau of Transportation Statistics. The data is categorized under Global Database’s United States – Table US.TA025: Waterborne Freight.

The North American Rail Network (NARN) Rail Lines dataset was created in 2016 and was updated on April 09, 2025 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Lines dataset is a database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1528950

The Marine Highways dataset was created on June 15, 2016 and was updated on June 16, 2025 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 35 maritime routes that have been designated as Marine Highways by the Secretary of U.S. DOT. 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. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529036

The Marine Highways dataset was created on June 15, 2016 and was updated on August 12, 2022 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. This dataset contains the locations of all 28 maritime routes that have been designated as Marine Highways by the Secretary of U.S. DOT.

This service shows the proportion of commuters using sustainable transportation for Canada by 2016 census division. The data is from the data table Main Mode of Commuting (10), Commuting Duration (7), Time Leaving for Work (7), Sex (3) and Age (5) for the Employed Labour Force Aged 15 Years and Over Having a Usual Place of Work or No Fixed Workplace Address, in Private Households of Canada, Provinces and Territories, Census Divisions and Census Subdivisions, 2016 Census - 25% Sample Data, Statistics Canada Catalogue no. 98-400-X2016324. 'Main mode of commuting' refers to the main mode of transportation a person uses to travel between his or her home and his or her place of work. 'Sustainable transportation' refers to persons using public transit (bus; subway or elevated rail; light rail, streetcar or commuter train; or passenger ferry) or active transport (walked or bicycle). For additional information refer to 'Main mode of commuting' in the 2016 Census Dictionary. For additional information refer to 'Main mode of commuting' in the 2016 Census Dictionary. To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.

The North American Rail Network (NARN) Rail Nodes dataset was created in 2016 and was updated on April 09, 2025 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Nodes dataset is a database of North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada. The dataset holds topology of the network and provides geographic location information. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529070

Click “Export” on the right to download the vehicle trajectory data. The associated metadata and additional data can be downloaded below under "Attachments".

Researchers for the Next Generation Simulation (NGSIM) program collected detailed vehicle trajectory data on southbound US 101 and Lankershim Boulevard in Los Angeles, CA, eastbound I-80 in Emeryville, CA and Peachtree Street in Atlanta, Georgia. Data was collected through a network of synchronized digital video cameras. NGVIDEO, a customized software application developed for the NGSIM program, transcribed the vehicle trajectory data from the video. This vehicle trajectory data provided the precise location of each vehicle within the study area every one-tenth of a second, resulting in detailed lane positions and locations relative to other vehicles. Click the "Show More" button below to find additional contextual data and metadata for this dataset.

For site-specific NGSIM video file datasets, please see the following: - NGSIM I-80 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-I-80-Vide/2577-gpny - NGSIM US-101 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-US-101-Vi/4qzi-thur - NGSIM Lankershim Boulevard Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Lankershi/uv3e-y54k - NGSIM Peachtree Street Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Peachtree/mupt-aksf