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

Permanent count stations refer to traffic counters that operate and collect traffic data continuously, 24 hours a day, 365 days a year. Permanent traffic counters produce Annual Average Daily Traffic (AADT), and some locations may also collect classification and/or weight data. The permanent traffic counting machines and data are maintained by TxDOT TPP Traffic Section. Update Schedule: As NeededSecurity Level: Public

See statewide traffic fatality trending data and statewide maps data.

See statewide data and traffic safety categories data.

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

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

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

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. TxDOT AADT Traffic Counts Data Dictionary - Overview Updated: Annually in JulySource: Statewide Traffic Analysis and Reporting System IISecurity Level: Public

See seat belt traffic fatality trending data and gender risk factors in 2021.

This web app contains the data for the traffic counts for the years 2016 through 2022 for the Transportation department in the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock GIS/IT Department and the Transportation Department.The data in this layer are represented as points and polygons.The web map connected to this web app can be found on Round Rock Traffic CountsThis time enabled map shows the traffic counts for for traffic zones within the city of Round Rock. The time sliding application within this map allows us to see the traffic counts by AADT each year between 2016 and 2022.

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

See motorcycle traffic fatality trending data and helmets life saving 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.

This Dashboard allows users to explore traffic counts in the City of Round Rock, located in Williamson County, Texas for the years 2016 - current year. This Dashboard is provided and maintained by the City of Round Rock Transportation Department. This dashboard contains a list of locations where counts have been collected.The traffic counts depicted in this layer are divided by the collection location. You can explore the counts captured every year for each location. Locations with no counts for the year were not monitored and will appear as No Data in the popups. the information in this dashboard is fed by the web map linked below.Associated Applications: Traffic Counts Web Map

This asset is in active development.

This dataset includes traffic count and data collection requests received and processed by the data collection team at Transportation Engineering Division of Austin Transportation & Public Works.

City of Austin Open Data Terms of Use – https://data.austintexas.gov/stories/s/ranj-cccq

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

Corresponding data set for Tran-SET Project No. 17ITSTSA01. Abstract of the final report is stated below for reference:

"The Transportation and Capital Improvement of the City of San Antonio, Texas Department of Transportation (TxDOT) and other related agencies often make several efforts based on traffic data to improve safety at intersections, but the number of intersection crashes is still on the high side. There is no one size fits all solution for intersections and the City is often usually confronted with doing best value option analysis on different solutions to choose the least expensive yet more advancements. The goal of this project was to obtain the relationship between road network characteristics and public safety with a focus on intersections; perform a thorough analysis of critical intersections with high crash incidents and crash rates within the city of San Antonio, Texas, and analyze key factors that lead to crashes and recommend effective safety countermeasures. Researchers conducted the following tasks: literature review, crash data analysis, factors affecting crashes at intersections, and the development of possible solutions to some of the identified challenges. Several variables and factors were analyzed, including driver characteristics, like age and gender, road-related factors and environmental factors such as weather conditions and time of day ArcGIS was used to analyze crash frequency at different intersections, and hotspot analysis was carried out to identify high-risk intersections. The crash rates were also calculated for some intersections. The research outcome shows that there are more male drivers than female drivers involved in crashes, even though we have more licensed female drivers than male drivers. The highest number of crashes involved drivers within the age range of 15 – 34 years; this is an indication that intersection crash is one of the top threats to the young generation. The study also shows that the most common crash type is the angle crash which represents over 23% of the intersection crashes. Driver’s inattention ranked first among all the contributing factors recorded. The highrisk intersections based on crash frequency and crash rate show that the intersection along the Bandera Road and Loop 1604 is the worst in the city, with 399 crashes and 8.5 crashes per million entering vehicles. The research concluded with some suggested countermeasures, which include public enlightenment and road safety audit as a proactive means of identifying high-risk intersections."

Used and available locations for male and female ocelots at the 2nd order (home range scale).

Exact location information (i.e., latitude and longitude) have been removed from this dataset due to the sensitive nature of data collected on endangered species and privacy of landowners.

Data provided in this file can be used to run the RSFs described in Veals et al. 2022 in Ecosphere.

The AnimalID column indicates the individual identification code for each oelots. Group indicates which sex and time period group the ocelot belongs to. Used represents if a point was a used location (1 = telemetry location, 0 = randomly available location).

Woody contains proportion of land cover (for woody vegetation) based on moving window analysis. Non-Woody similarly contains proporiton of land cover for that vegetation class. SD_Woody contains the standard deviation of woody cover at a location. Log_Low, Log_Med, and Log_High represent the log of distance (in kilometers) to the nearest road based on traffic volume classification. Traffic volume was classified based on the annual average daily traffic record provided by Texas Department of Transportation (low as

This layer contains the data for the traffic detectors for the Transportation department in the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock GIS/IT Department and the Planning and Development Services Department. The data in this layer are represented as points.A traffic detector is a system that is used by the city to measure variables such as presence, volume, speed, and occupancy of moving vehicles in order to detect and predict traffic patterns.