This file contains data from the ACS 2019 census block group level polygons with the total population and percent of population for various demographics. For each census block group the population counts for various demographics were extracted and divided by the total population to calculate the percent of population within the census block group for each demographic. For each demographic the "single race" variable was selected. The "White" population was modified to subtract Hispanic-white populations, and "Nonwhite" was calculated as the difference between the total population and the modified white population.

The first major set of trials conducted at the Michigan Test Bed was the Proof of Concept (POC) trials during 2008. The POC trials featured fifty-two RSEs within 45 square miles, 27 vehicles configured with OBEs, and a Dedicated Short-Range Communications (DSRC) network. The testing program had three major phases: subsystem test, system integration and test, and public and private applications test. The public application testing portion of the POC trials were conducted during August 2008. RSE data for the public application tests were available for eight days in August 2008. The data in this data environment consists of RSE and OBE data for the middle six of these days. These six days were chosen for inclusion in the data environment because the first and last days had much higher number of duplicate records and questionable data values.

In April 2009 and April 2010 a second and third set of trials was conducted at the Michigan Test Bed, directed by the National Center for Atmospheric Research (NCAR). These trials used a smaller set of vehicles. The April 2009 data concentrated on collecting data during periods of rainy or snowy weather. The April 2010 concentrated on comparing atmospheric data from vehicle-mounted sensors to data from a nearby fixed weather observing station.

This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

The Mobility Trends County Modeling dataset consists of the accumulation of the three performance metrics: VMT, GHG, and TMS, alongside each of the trend indicators: GDP, Population, Lane Miles, Unemployment Rate, Charging Stations, Telework, Unlinked Passenger Trips, E-commerce, Population Density, and on-demand service revenue. The goal of Mobility Trends and Future Demand research project is to enhance FHWA’s empirical understanding of the impact of trends on travel behavior and transportation demand, and ultimately system performance and the user experience. At the core of this research project is the identification and analysis of trends to support a variety of modeling, forecasting, and ‘what if’ projections to support policy and decision making.

This dataset allows the Mobility Trends team to understand and interpret transportation trends and performance metrics based off the forecasts. These interpretations include VMT Forecasts, Vehicle Types/Fuel use Forecasts, and Emissions forecasts with various Geographic breakouts.

Select summary highway statistics, 1980 - 2017, mileage, lane-miles, vehicle miles traveled, and fatalities by state and functional system.

The VTRIS W-Tables are designed to provide a standard format for presenting the outcome of the Vehicle Weighing and Classification efforts at truck weigh sites. The data that appears in the W-Tables comes from the Summary files that are generated by the Summary subsystem.

The Federal Highway Administration (FHWA) has been receiving Highway inventory, usage, condition and performance data from State Departments of Transportation (DOT) since 1978 to support the program mission of the FHWA. Specifically, HPMS consists of detailed road segment data (63 Attributes) for higher order systems. Sample attributes for collector systems and summary data for the local roads.
New requirements for HPMS took effect in 2014 that required each State DOTs to expand their Linear Referencing Systems (LRS), a statewide geospatial representation of their road system that includes all public roads. This requirement was put in place to support highway safety.
States DOTs submit HPMS data annually to the FHWA following a prescribed format outlined in the Highway Performance Monitoring System Field Manual.

Limited data from the Highway Performance Monitoring System (HPMS) with spatial data.

2017 Traffic Volume Data - FHWA's TMAS Data Program (based on unweighted raw continuous traffic count information collected by state highway agencies)