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: 09-19-2025 15:35:04.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

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

Counts for calendar year 2015.

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 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: 09-06-2025 16:35:05.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/special_projects/real_time/real_time_current.zip

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: 10-03-2025 13:35:04.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 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: 08/30/2025.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

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 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 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: 08/30/2025.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 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 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: 09/20/2025.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

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: 08/23/2025.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

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: 10/04/2025.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 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.

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

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

Current Annual Average Daily Traffic volumes.

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

This Feature Service is a resource for FDOT's Unified LRS project. The Unified LRS will include linework and data elements for ALL ROADS (state, county, and local) in the state of Florida and will incorporate centerline and lane mileage, traffic monitoring, roadway inventory, performance analysis, condition assessment, and travel speeds.The service represents the status of the local coordination efforts with Unified LRS entities (counties, cities, and municipalities) in Florida. The entities who are actively in contact with the Department are symbolized in blue. The service is part of the Unified LRS Local Coordination WebMap that is embedded in the Unified LRS Hub Site and is regularly updated to reflect coordination efforts. This map is a product of the Transportation Data and Analytics Office within the Florida Department of Transportation and is updated as needed.

The coverage is state-wide and includes administrative city/municipality and county boundaries. For question or comments, you may contact FDOT-UnifiedLRS@dot.state.fl.us.

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.