The real_time data shows the collection of real-time traffic volumes and observed travel speeds on a selected set of roadways in the state. The real_time data is the most recent two days (maximum) of traffic volumes and traffic speeds collected from the time traffic monitors are activated and shown in the most recent 2-day intervals until the activated monitors are turned off. Therefore a single station on the map will have a number of records tied to it showing the traffic volume and speed changes for that roadway section over a two day interval. Real-time polling is activated for a hurricane or other emergencies in Florida. This dataset is maintained by the Transportation Data & Analytics office (TDA). This hosted feature layer was updated on: 10-16-2025 10:35:02.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/special_projects/real_time/real_time.zip

Point layer used to represent the spatial location of all Traffic Count Stations maintained and counted on an annual basis by Miami-Dade County Public Works and Waste Management Department.Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

The FDOT Truck Traffic Volume feature class provides spatial information on annual average daily truck volumes along roadway traffic breaks. It also contains additional information from the FDOT Traffic Characteristics Inventory database. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/08/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/truck_volume.zip

The Annual Average Daily Traffic feature class feature class shows the location of traffic breaks and affiliated annual average daily traffic volumes in the state of Florida as derived from event mapping selected traffic characteristics from the FDOT Traffic Characteristics Inventory (TCI).

The FDOT Historical Annual Average Daily Traffic feature class provides spatial information on Annual Average Daily Traffic section breaks for the state of Florida. In addition, it provides affiliated traffic information like KFCTR, DFCTR and TFCTR among others. It contains five years of AADT data including the most currently available year. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/29/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/aadt_historical.zip

Official Florida Department of Transportation Traffic Counts for Tallahassee and Leon County.

Counts for calendar year 2015.

The real_time_current data shows the most recent avalable real-time traffic volumes and observed travel speeds on a selected set of roadways in the state. While the real_time feature class shows a collection of the most recent 2 days worth of polling data, this datset shows only the most recent polling data for each site. Keep in mind that if a site is malfunctioning its time stamp might be different than those for sites that are fully operational. Real-time polling is activated for a hurricane or other emergencies in Florida. This dataset is maintained by the Transportation Data & Analytics office (TDA). This hosted feature layer was updated on: 10-18-2025 09:35:03.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/special_projects/real_time/real_time_current.zip

The traffic_tmscnt feature class shows the location of traffic monitoring sites maintained by the Florida Department of Transportation, Transportation Data and Analytics office's Traffic data section. The sites have daily hourly traffic count data by direction for the most recent six months. This feature class is updated daily using event mapping against the FDOT TDA linear referencing system (LRS). The feature class also contains information about total volume, managing district, and county location. This dataset is maintained by the Transportation Data & Analytics office (TDA). This hosted feature layer was updated on: 05-21-2025 06:00:05.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/traffic_tmscnt.zip

The FDOT Traffic Signal Locations feature class provides spatial information on locations of traffic signals in RCI. District Traffic Operations Office is responsible for collecting and maintaining this information for on-system roadways. Some characteristics have been created to assist districts with their specific traffic operations data collection needs. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/08/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/traffic_signal_locations.zip

A line feature class of the Annual Average Daily Traffic (AADT) data within Miami-Dade County. This subset of the FDOT Annual Average Daily Traffic feature class feature class shows the location of traffic breaks and affiliated annual average daily traffic volumes within Miami-Dade County and parts of South Florida as derived from event mapping selected traffic characteristics from the FDOT Traffic Characteristics Inventory (TCI).The FDOT Annual Average Daily Traffic feature class provides spatial information on Annual Average Daily Traffic section breaks within Miami-Dade county and parts of South Florida. In addition, it provides affiliated traffic information like KFCTR, DFCTR and TFCTR among others.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

The FDOT Portable Traffic Monitoring Site (PTMS) feature class provides information on Florida Portable Traffic Monitoring Site locations, as well affiliated information like KFCTR and TFCTR from the FDOT Traffic Characteristics Inventory database. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/01/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/ptms.zip

This layer displays the annual average daily traffic for the state of Florida. With Smart Mapping, two variables are mapped and shown using both size and color. Here, the larger line widths represent areas with high volumes of traffic while the various colors highlight the various road districts in Florida.Source data released by FDOT's Transportation Statistics Office on: 20150627. The Annual Average Daily Traffic Roadways feature class covers the state of Florida at a scale of 1:24,000 with a projection system of Universal Transverse Mercator (UTM) 17 North zone and a horizontal datum of North American 1983 (NAD 1983). The map units are in meters. Web Service created on 07_02_2015 from source data available at ftp://ftp.dot.state.fl.us/fdot/co/planning/transtat/gis/shapefiles/aadt.zip

This csv file provides auto travel speed data information for Florida and Districts for 2017, 2018, 2019 and 2020. Through the FDOT Source Book Special Edition 2020 report, users can drill down the auto travel speed data at the statewide and District level.The report's link is: https://sourcebook-2020-se-fdot.hub.arcgis.com/Beginning in April 2020, statewide traffic volumes dropped 42% as compared to April 2019. As a result, the average peak hour travel speed on freeways in Florida was 15% higherData source: The National Performance Management Research Data Set (NPMRDS) data via Regional Integrated Transportation Information System (RITIS)For any additional information, please contact the Forecasting and Trends Office (FTO) at 850-414-5396.

The FDOT Telemetered Traffic Monitoring Site (TTMS) feature class provides information on Florida Telemetered Traffic Monitoring Site locations, as well affiliated information like KFCTR and TFCTR from the FDOT Traffic Characteristics Inventory database. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/22/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/DOTShapesFGDB.zip

This csv file provides auto volumes data information for Florida and Districts for 2017, 2018, 2019 and 2020. Through the FDOT Source Book Special Edition 2020 report, users can drill down the auto volumes data at the statewide and District level.The report's link is: https://sourcebook-2020-se-fdot.hub.arcgis.com/In April 2020, statewide traffic volumes dropped 42% as compared to April 2019. By the end of 2020, statewide average daily traffic volumes returned to 95% of 2019 volumes.Data source: FDOT Transportation Data & Analytics Office.For any additional information, please contact the Forecasting and Trends Office (FTO) at 850-414-5396.

This csv file provides fuel consumption data information for Florida and Districts for 2017, 2018, 2019 and 2020. Through the FDOT Source Book Special Edition 2020 report, users can drill down the fuel consumption data at the statewide and District level.The report's link is: https://sourcebook-2020-se-fdot.hub.arcgis.com/From January 2017 through March 2020, statewide motor fuel consumption in Florida remained somewhat consistent from year to year. Motor fuel consumption in 2020 mirrored that of statewide average traffic volumes, decreasing 40% to its lowest point in May 2020. While Florida travelers continue to pump fewer gallons compared to prior years, consumption levels were trending up from June to October 2020, hovering within 5% of previous years. November and December 2020 data is not available yet.Data source: Florida Department of Revenue. For any additional information, please contact the Forecasting and Trends Office (FTO) at 850-414-5396.

Context:

On a typical day in the United States, police officers make more than 50,000 traffic stops. The Stanford Open Policing Project team is gathering, analyzing, and releasing records from millions of traffic stops by law enforcement agencies across the country. Their goal is to help researchers, journalists, and policymakers investigate and improve interactions between police and the public.

If you'd like to see data regarding other states, please go to https://www.kaggle.com/stanford-open-policing.

Content:

This dataset includes over 1 gb of stop data from Florida. Please see the data readme for the full details of the available fields.

Acknowledgements:

This dataset was kindly made available by the Stanford Open Policing Project. If you use it for a research publication, please cite their working paper: E. Pierson, C. Simoiu, J. Overgoor, S. Corbett-Davies, V. Ramachandran, C. Phillips, S. Goel. (2017) “A large-scale analysis of racial disparities in police stops across the United States”.

Inspiration:

• How predictable are the stop rates? Are there times and places that reliably generate stops?
• Concerns have been raised about jurisdictions using civil forfeiture as a funding mechanism rather than to properly fight drug trafficking. Can you identify any jurisdictions that may be exhibiting this behavior?

The FDOT Count Station layer provides feature class information on Florida Portable Traffic Monitoring Sites for Miami-Dade county. These stations were queried using Miami-Dade County's assigned prefix '87' by FDOT and exported out of the state wide shapefile available at the FDOT GIS Site for use in the MDC Traffic Counter Viewer application.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

Secondary crashes or crashes that occur in the wake of a preceding or primary crash are among the most critical incidents occurring on highways, due to the exceptional danger they present to the first responders and victims of the primary crash. In this work, we developed a self-exciting temporal point process to analyze crash events data and classify it into primary and secondary crashes. Our model uses a self-exciting function to describe secondary crashes while primary crashes are modeled using a background rate function. We fit the model to crash incidents data from the Florida Department of Transportation, on Interstate-4 (I-4) highway for the years 2015–2017, to determine the model parameters. These are used to estimate the probability that a given crash is secondary crash and to find queue times. To represent the periodically varying traffic levels and crash incidents, we model the background rate, as a stationary function, a sinusoidal non-stationary function, and a piecewise non-stationary function. We show that the sinusoidal non-stationary background rate fits the traffic data better and replicates the daily and weekly peaks in crash events due to traffic rush hours. Secondary crashes are found to account for up to 15.09% of traffic incidents, depending on the city on the I-4 Highway.

This dataset shows information about each traffic crash since 2011 on city streets within the City of Gainesville limits and under the jurisdiction of Gainesville Police Department (GPD). Data shown are more than 60 days from when accidents occurred due to Florida Statutes 316.066.

Disclaimer: In 2021, Florida reporting of crime data began a transition from Summary Reporting System (SRS) to National Incident-Based Reporting System (NIBRS), causing an effect on crime statistics reported by Law Enforcement Agencies such as the Gainesville Police Department who made this transition on November 16, 2021. The effect would be an increase in crime due to the elimination of the SRS Hierarchy Rule which collected only the most serious offense in an incident while NIBRS will now capture up to 10 offenses per incident and specifies more offense categories than SRS. The inclusion of these crimes, particularly property crimes, will reflect an increase in crime when switching from SRS reporting to NIBRS' reporting. The apparent increase (usually not greater than 2.7%) is simply due to the difference between how crimes are counted in NIBRS versus the SRS and its application of the Hierarchy Rule. More information regarding NIBRS effect on crime statistics can be found on the following link: https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf.