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

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: 11/01/2025.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/truck_volume.zip

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

Counts for calendar year 2015.

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

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: 10-23-2025 07:35:04.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 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

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 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: 11/08/2025.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/ptms.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.

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: 11/01/2025.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/DOTShapesFGDB.zip

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.

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.

The FDOT Sidewalk Barrier feature class provides spatial information on sidewalk barriers. Sidewalk barriers are physical barriers that separate motorized vehicle lanes from sidewalks or shared paths. The barrier can be of several types, such as areas for vehicular parking, physical traffic barriers, guardrail, trees, etc. This information is required for all non-limited access highways, including bridge segments. 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.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/sidewalk_barrier.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 dataset contains locations for fatal and serious injuries of non-motorists (bicyclists or pedestrians) on public roads in Florida from 2007 through 2016. A non-motorist is categorized by the reporting agency using Non-Motorist Codes 1, 2, 3, and 4 for pedestrian, other pedestrian, bicyclist, and other bicyclist respectively. Non-Motorist Codes 5, 6, and 7 denote occupants of motor vehicles not in transport (e.g. parked), occupants of non-motor vehicle devices, and unknown non-motorist types respectively.This dataset is based on “Long Form” crash data reported by law enforcement to the Florida Department of Highway Safety and Motor Vehicles (FLHSMV). Geographic coordinates were processed and provided by the Florida Department of Transportation (FDOT).FLHSMV is the official custodian of traffic crash data for the State of Florida. You may visit the FLHSMV website for crash reports and statistics [https://www.flhsmv.gov/].SSOGisThe FDOT State Safety Office (SSO) maintains a web-based map called SSOGis [https://fdotewp1.dot.state.fl.us/ssogis]. You may also access and query crash data as well as export data and shapefiles through SSOGis.ContactIf you have any questions or comments, please contact:Florida Department of Transportation, State Safety Office605 Suwannee StreetTallahassee, FL 32399-0450850.414.3100FDOT-SafetyData@dot.state.fl.us

This layer contains locations for non-motorists (bicyclists or pedestrians) with fatal or serious injuries on public roads in Florida for 2012. A non-motorist is categorized by the reporting agency using Non-Motorist Codes 1, 2, 3, and 4 for pedestrian, other pedestrian, bicyclist, and other bicyclist respectively. Non-Motorist Codes 5, 6, and 7 denote occupants of motor vehicles not in transport (e.g. parked), occupants of non-motor vehicle devices, and unknown non-motorist types respectively.This layer is based on “Long Form” crash data reported by law enforcement to the Florida Department of Highway Safety and Motor Vehicles (FLHSMV). Geographic coordinates were processed and verified by the Florida Department of Transportation (FDOT).FLHSMVFLHSMV is the official custodian of traffic crash data for the State of Florida. You may visit the FLHSMV website for crash reports and statistics [https://www.flhsmv.gov/]. The FLHSMV supports keyword search.SSOGisThe FDOT State Safety Office (SSO) maintains a web-based map called SSOGis [https://fdotewp1.dot.state.fl.us/ssogis]. You may also access and query crash data as well as export data and shapefiles through SSOGis.ContactIf you have any questions or comments, please contact:Florida Department of Transportation, State Safety Office605 Suwannee Street, MS 53Tallahassee, FL 32399-0450850.414.3100FDOT-SafetyData@dot.state.fl.us

The US 301 Asphalt Test Road provides a unique opportunity to evaluate the real-world performance of new asphalt pavement technologies and innovative design concepts. It examines how various factors—such as traffic loads, pavement design, material properties, construction methods, and environmental conditions—interact and affect long-term performance. Built parallel to an existing highway and a concrete test road, the facility allows traffic to be safely diverted when needed, enabling continuous performance monitoring without disrupting regular travel.This facility comprises 12 main sections, with Sections 8 and 10 further divided into two smaller sub-sections. Each section is 1,000 feet long and includes both a travel lane and a passing lane.Sections 1 through 7 are focused on the base layer study, featuring a standard Florida top layer structure with varying base configurations. Section 8 is dedicated to studying reflective cracking and is divided into two 500-foot sub-sections: 8A with crack relief mix and 8B as control. Section 9 features the Superpave 5 study, while Section 10 focuses on a deep-lift pavement design involving two different mix designs and is also split into two 500-foot sub-sections. Sections 11 and 12 are part of the open-graded friction course study, with Section 11 as a common Florida OGFC section and Section 12 as the newly developed quiet friction course test section.Construction work on the test road began in 2023 and continued for about eight months. After completing all paving and safety work, the road was officially opened to public traffic in August 2024. The facility now serves as a real-world testing ground where pavement materials and designs can be evaluated under Florida’s unique traffic loads and weather conditions.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not bedivided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not bedivided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.