This is a public and downloadable traffic data product of statewide average annual daily traffic (AADT) counts. Annual average daily traffic is a measure of transportation system use that represents the typical traffic volume at a location. Standard traffic monitoring AADT calculation methods vary depending on traffic data collection equipment, data type, and frequency. The TxDOT AADT count data in this layer is calculated as 24 hour volume x Axle Correction Factor x Monthly Adjustment Factor, or by traffic monitoring ramp balancing procedures. In a small number of cases, other methods may be used at TxDOT's discretion.Updated: Annually in JulySource: Statewide Traffic Analysis and Reporting System IISecurity Level: Public

Data Dictionary for District Traffic Web Map used in TPP Statewide Traffic Count App

This is a public and downloadable traffic data product of statewide average annual daily traffic (AADT) counts. Annual average daily traffic is a measure of transportation system use that represents the typical traffic volume at a location. Standard traffic monitoring AADT calculation methods vary depending on traffic data collection equipment, data type, and frequency. The TxDOT AADT count data in this layer is calculated as 24 hour volume pneumatic tube count x Axle Correction Factor x Monthly Adjustment Factor. In a small number of cases, other methods may be used at TxDOT's discretion.Updated: Annually in JulySource: Statewide Traffic Analysis and Reporting System IISecurity Level: Public

Disclaimer: This is a historical dataset (12/16/2017-9/9/2021) that is no longer being updated after September 9, 2021. The Wavetronix radar sensors are being phased out and may not be reporting new data as of 2021.

Traffic count and speed data collected from the several Wavetronix radar sensors deployed by the City of Austin.

The Travel Sensor dataset ( https://data.austintexas.gov/Transportation-and-Mobility/Travel-Sensors/6yd9-yz29 ) is related to this dataset using the 'KITS ID' field. The Travel Sensors dataset provides more information on sensor location and status.

This is a public and downloadable traffic data product of statewide average annual daily traffic (AADT) counts on ramp type roadbeds. Annual average daily traffic is a measure of transportation system use that represents the typical traffic volume at a location. Standard traffic monitoring AADT calculation methods vary depending on traffic data collection equipment, data type, and frequency. The TxDOT AADT count data in this layer is calculated as 24 hour camera vehicle count x monthly adjustment factor. In a small number of cases, other methods may be used at TxDOT's discretion.Updated: Annually in JulySource: Statewide Traffic Analysis and Reporting System II (STARS II)Security Level: Public

This dataset contains information about traffic detectors deployed at signalized intersections in the City of Austin, Texas. The data is maintained by the Arterial Management Division of the City of Austin Transportation & Public Works Department.

This dataset contains traffic incident information from the Austin-Travis County traffic reports collected from the various Public Safety agencies through a data feed from the Combined Transportation, Emergency, and Communications Center (CTECC).

For further context, see: - Active Incidents: Map and Context - https://data.austintexas.gov/stories/s/Austin-Travis-County-Traffic-Report-Page/9qfg-4swh/ - Data Trends and Analysis - https://data.austintexas.gov/stories/s/48n7-m3me

The dataset is updated every 5 minutes with the latest snapshot of active traffic incidents.

See pedestrians and pedalcyclists traffic fatality trending data and incident map.

This dataset is no longer actively maintained, because the devices referenced in this dataset have been removed from operation.

This dataset contains information about travel sensors in Austin, TX. Travel sensors are owned and operated by the City of Austin Transportation Department and are used to monitor traffic conditions across the city.

The output of these sensors is available for download in the following datasets:

Radar traffic counts related to this dataset with the 'KITS ID' value of a wavetronix travel sensor. ( https://data.austintexas.gov/Transportation-and-Mobility/Radar-Traffic-Counts/i626-g7ub )

Individual Address Records ( https://data.austintexas.gov/dataset/Bluetooth-Travel-Sensors-Individual-Addresses/qnpj-zrb9/data )

Individual Traffic Matches ( https://data.austintexas.gov/dataset/Bluetooth-Travel-Sensors-Individual-Traffic-Matche/x44q-icha/data )

Traffic Summary Records ( https://data.austintexas.gov/dataset/Bluetooth-Travel-Sensors-Match-Summary-Records/v7zg-5jg9 )

For information about Austin's Advanced Transportation Management System, visit the department website, here: http://www.austintexas.gov/department/arterial-management

See distracted driving traffic fatality trending data and contributing factors data.

City of Austin roadway work zones served in the USDOT Work Zone Data Exchange (WZDx) specification.

This feed is under active development.

More info available at: https://github.com/usdot-jpo-ode/wzdx

This resource contains statewide networks of roadways, railroads, bridges, and low water crossings, for Texas only.

Roadways detail: The Transportation Planning and Programming (TPP) Division of the Texas Department of Transportation (TxDOT) maintains a spatial dataset of roadway polylines for planning and asset inventory purposes, as well as for visualization and general mapping. M values are stored in the lines as DFOs (Distance From Origin), and provide the framework for managing roadway assets using linear referencing. This dataset covers the state of Texas and includes on-systems routes (those that TxDOT maintains), such as interstate highways, U.S. highways, state highways, and farm and ranch roads, as well as off-system routes, such as county roads and local streets. Date valid as of: 12/31/2014. Publish Date: 05/01/2015. Update Frequency: Quarterly.

Bridges detail: As with the roadways, both on-system and off-system bridges are maintained in separate datasets (54,844 total bridges, 36,007 on-system and 18,837 off-system). Bridges have numerous useful attributes, see coding guide [1] for documentation. One such attribute identifies structures that cross water: the second digit of Item 42 “Type of Service”. If the second digit is between 5 and 9 (inclusive) then the structure is over water. The bridges datasets are valid as of December 2016.

The roadways and bridges datasets contained here were obtained directly from TxDOT through personal correspondence. An alternate resource that is more open is the Texas Natural Resources Information System (TNRIS) [2]. The railroads and low-water crossings were obtained through TNRIS.

References [1] TxDOT Bridges Coding Guide (download below) [2] TNRIS data downloads [https://tnris.org/data-download/#!/statewide]

See work zone traffic fatality trending data and high-traffic hotspots.

This dataset provides lane closure occurrences within the Texas Department of Transportation (TxDOT) highway system in a tabular format. A continuously updating archive of the TxDOT WZDx feed data can be found at ITS WorkZone Raw Data Sandbox and the ITS WorkZone Semi-Processed Data Sandbox. The live feed is currently compliant with the Work Zone Data Exchange (WZDx) Specification version 2.0.

This data contains information about traffic and pedestrian signals in the city of Austin, Texas. The data is updated on a daily basis and maintained by the Austin Transportation & Public Works Department's Arterial Management Division.

You may also be interested in the following resources:

• Traffic Signal Monitor https://data.mobility.austin.gov/signal-monitor

• Signal Evaluations https://data.mobility.austin.gov/signal-evaluations

View the Complete Dataset documentation on Github: https://github.com/cityofaustin/hack-the-traffic/tree/master/docs

This dataset contains aggregate travel time and speed summaries based on the individual traffic match records from the City of Austin's Bluetooth travel sensors.. Each row in the dataset summarizes average travel time and speed along a sensor-equipped roadway segment in 15 minute intervals.

How does the City of Austin use the Bluetooth travel sensor data? The data enables transportation engineers to better understand short and long-term trends in Austin’s traffic patterns, supporting decisions about systems planning and traffic signal timing.

What information does the data contain? The sensor data is available in three datasets:

Individual Address Records ( https://data.austintexas.gov/dataset/Bluetooth-Travel-Sensors-Individual-Addresses/qnpj-zrb9/data ) Each row in this dataset represents a Bluetooth device that was detected by one of our sensors. Each record contains a detected device’s anonymized Media Access Control (MAC) address along with the time and location the device was detected. These records alone are not traffic data but can be post-processed to measure the movement of detected devices through the roadway network

Individual Traffic Matches ( https://data.austintexas.gov/dataset/Bluetooth-Travel-Sensors-Individual-Traffic-Matche/x44q-icha/data ) Each row in this dataset represents one Bluetooth enabled device that detected at two locations in the roadway network. Each record contains a detected device’s anonymized Media Access Control (MAC) address along with contain information about origin and destination points at which the device was detected, as well the time, date, and distance traveled.

Traffic Summary Records ( https://data.austintexas.gov/dataset/Bluetooth-Travel-Sensors-Match-Summary-Records/v7zg-5jg9 ) The traffic summary records contain aggregate travel time and speed summaries based on the individual traffic match records. Each row in the dataset summarizes average travel time and speed along a sensor-equipped roadway segment in 15 minute intervals.

Does this data contain personally identifiable information? No. The Media Access Control (MAC) addresses in these datasets are randomly generated.

VITAL SIGNS INDICATOR Time Spent In Congestion (T7) FULL MEASURE NAME Congested delay on regional freeways LAST UPDATED May 2017 DESCRIPTION Time spent in traffic congestion – also known as congested delay – refers to the number of minutes weekday travelers spend in congested conditions in which freeway speeds drop below 35 mph. Total delay, a companion measure, includes both congested delay and all other delay in which speeds are below the posted speed limit. DATA SOURCE Metropolitan Transportation Commission: Historical Congestion Analysis CONTACT INFORMATION vitalsigns.info@mtc.ca.gov METHODOLOGY NOTES (across all datasets for this indicator) Delay statistics only include freeway facilities and rely upon INRIX traffic data. They reflect delay on a typical weekday, which is defined as Tuesday through Thursday during peak traffic months. Delay statistics emphasize recurring delay - i.e. consistent delay greater than 15 minutes on a specific freeway segment. Congested delay is defined as congestion occurring with speeds less than 35 mph and is commonly recognized as inefficient delay (meaning that the freeway corridor is operating at speeds low enough to reduce throughput - as opposed to speeds greater than 35 mph which increase throughput). Data sources listed above were used to calculate per-capita and per-worker statistics; national datasets were used for metro comparisons and California datasets were used for the Bay Area. Top congested corridors are ranked by total vehicle hours of delay, meaning that the highlighted corridors reflect a combination of slow speeds and heavy traffic volumes. Historical Bay Area data was estimated by MTC Operations staff using a combination of internal datasets to develop an approximate trend back to 1998. The metropolitan area comparison was performed for the combined primary urbanized areas (San Francisco-Oakland and San Jose) as well as nine other major metropolitan areas' core urbanized area. Because the Texas Transportation Institute no longer reports congested freeway delay or total freeway delay (focusing solely on total regional delay), 2011 data was used to estimate 2014 total freeway delay for each metro area by relying upon the freeway-to-regional ratio from 2011. Estimated urbanized area workers were used for this analysis using the 2011 ratios, which accounts for slight differentials between Bay Area data points under the regional historical data and the metro comparison analysis. To explore how 2016 congestion trends compare to real-time congestion on the region’s freeways, visit 511.org.

The traffic stations at these locations collect short-term traffic count data to produce Annual Average Daily Traffic (AADT). This point layer contains combined traffic counts from mainlanes and frontage roads at one station displayed on the centerline of the roadway for the State of Texas. The data is created and maintained by the Transportation Planning and Programming (TPP) Division’s Traffic section at TxDOT. Traffic counts are collected on an annual basis as a means of measuring the use of public roads in the state. AADTs are calculated using a volume count, axle factor, and seasonal factor. A general overview of the equation is AADT = axles * axle factor * seasonal factor. The data is sourced from the Statewide Traffic Analysis and Reporting System (STARS II).

All Employees: Transportation and Utilities in Texas was 712.20000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, All Employees: Transportation and Utilities in Texas reached a record high of 712.20000 in January of 2024 and a record low of 303.00000 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Transportation and Utilities in Texas - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Support Activities for Transportation Payroll Employment in Texas (TX43488000M175FRBDAL) from Jan 1990 to Nov 2024 about support activities, payrolls, transportation, TX, employment, and USA.