User guide for the ArcGIS Online Statewide Traffic Count AppThe guide covers essential aspects, including:Map Functions Overview: This section details the basic interactive functions of the map, including zooming, panning, and identifying features. It will explain how to navigate the map interface effectively, find specific locations, and understand the map's overall layout and controls. Turn Layers On and Off: This portion of the guide will teach users how to control the visibility of different data layers within the map. Users will learn how to toggle layers on and off to customize the map display, focusing on specific traffic count data or related information. This allows for a more focused analysis of the data. Attribute Table and Export Data: This section explains how to access and utilize the attribute table associated with the traffic count data. Users will learn how to view detailed information about each traffic count location, including specific count values, dates, and other relevant attributes. Furthermore, this section will instruct how to export the attribute table data into formats like CSV or Excel for further analysis outside of the online application. Downloading Data: This portion of the guide will explain how to download the traffic count data. It will explain what file types are available for download, and any restrictions that are placed on the data.

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

Disclaimer: This is a historical dataset (12/16/2017-9/9/2021) that is no longer being updated after September 9, 2021.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. 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

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

Traffic count data collected from the several GRIDSMART optical traffic detectors deployed by the City of Austin.

This dataset is no longer updated because these devices are no longer maintained

The Travel Detectors dataset ( https://data.austintexas.gov/Transportation-and-Mobility/Traffic-Detectors/qpuw-8eeb ) is related to this dataset using the 'ATD Device ID' field. The Travel Detectors dataset provides more information on device location and status.

The average speed measurements may not have been calibrated for all intersections. All measurements have been collected using automated machine vision processes and have not been validated.

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

See statewide data and traffic safety categories data.

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

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

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.

Geospatial data about Richardson, Texas Traffic Volume. Export to CAD, GIS, PDF, CSV and access via API.

This layer is sourced from maps.roundrocktexas.gov.

City of Round Rock Average Daily Traffic counts for 2014

The Austin Transportation Department manages thousands of IP-enabled devices which enable traffic signal operations. Devices include traffic cameras, battery backup systems, signal controllers, and vehicle detectors.

This dataset, updated daily, serves as a log of attempts to communicate with the various various devices on the traffic signals network.

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).

This dataset supports measure M.D.1 of SD 2023. It includes basic crash information that is primarily derived from TxDOT and supplemented with City staff analysis. This data tracks how our community is doing toward achieving the policy goal of zero traffic-related deaths or serious injuries adopted by City Council. View more details and insights related to this measure on the story page:https://data.austintexas.gov/stories/s/a5fa-t7pt/

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 Texas Transportation Institute (unpublished analysis) 2011 Used for freeway ratio calculation

Texas Transportation Institute Urban Mobility Scorecard 2014 http://mobility.tamu.edu/ums/

U.S. Census Bureau: Intercensal Estimates http://www.census.gov/popest/data/intercensal/

U.S. Bureau of Labor Statistics: Metro Area Employment http://www.bls.gov/sae/

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.

This dataset contains traffic crash records for crashes which have occurred within current City of Austin Full Purpose boundaries, inclusive of all public safety jurisdictions, in the last ten years. It is one of two datasets which power our Vision Zero Viewer dashboard, available here: https://visionzero.austin.gov/viewer. Crash data may take several weeks to be submitted, reviewed, and finalized for inclusion in this dataset. To provide the most accurate information as possible, we only provide crash data as recent as two weeks old. Please also note that some crash records may take even longer to appear in this dataset, depending on the circumstances of the crash and the ensuing law enforcement investigation. Crash data is obtained from the Texas Department of Transportation (TxDOT) Crash Record Information System (CRIS) database, which is populated by reports submitted by Texas Peace Officers throughout the state, including Austin Police Department (APD). The data and information on this website is for informational purposes only. While we seek to provide accurate information, please note that errors may be present and information presented may not be complete.

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

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