The FDOT GIS Access Management Roadways feature class provides spatial information on Florida Access Management Classification, as well attribute information compatible with the Roadway Characteristics Inventory (RCI) database. This classification reflects the desired access management standards to be followed in each classification. These are standards for restrictive medians, median opening separation, and driveway separation. The ranges are from 00-07 and 99. Code 01 is the highest amount of access management control (freeways) and code 07 is the lowest. Code 07 is usually found on suburban built-out corridors. A representative from each district will gather, update, and input this data into RCI as needed. For further reference, please read FAC Rule 14-97 Access Management Classification System and Standards. This can be obtained from the District Systems Planning Office. For further assistance, please contact Systems Planning Office at (850) 414-4912. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/19/2025.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/access_management.zip

This feature layer contains the Level of Service (LOS) on state roads and other facilities within the District Five, from 2002 to present. LOS is updated annually in July; this dataset will be updated accordingly. Data from the previous year is used to calculate the LOS, so there is a time lag. The currently adopted Urban and Transitioning areas are also shown.Please keep in mind that the methodology and capacities for calculating LOS has changed several times during the past 20 years. Thus, an equal comparison between and among the different years may be difficult to do. For definitions, official FDOT policy on LOS, handbooks/user guides, and contact information, please visit the FDOT Systems Implementation Office website at https://www.fdot.gov/planning/systems/programs/sm/los/default.shtm.

FDOT District 3Environmental Data ToolThe Environmental Data Tool is designed for the Project Development and Environment (PD&E) phase of the Efficient Transportation Decision Making (ETDM) process. It is intended to assist the environmental review of proposed transportation projects. The data layers in this tool represent the issues and resources addressed in the Preliminary Environmental Discussion (PED) of the PD&E process. The data is organized by these major categories:Natural ResourcesCultural ResourcesPhysical FactorsSocial and Economic FactorsSpecial DesignationsNatural Resources100 Year Flood PlainWetlandsFlorida Managed Areas

The FDOT Maintenance Area Boundary feature class provides spatial information on which Maintenance Unit cost center has responsibility for a roadway. This information is required for Active Exclusive (ramps, frontage roads, etc.), managed lanes and State Highway Systems (SHS). Checks are continuously required to insure each roadway section/sub-section within the active milepoint limits have this characteristic validated. Any errors in this data will show up in the Consistency Edit Report that should be run each month. This characteristic must be entered by each county, section, and sub-section for each state road in the physical boundary of the maintenance cost center. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/26/2025.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/maintenance_boundary.zip

The FDOT GIS Interstates feature class provides spatial information on Florida Interstate highways. The interstate and US route numbers are assigned by the Federal American Association of State Highway and Transportation Officials (AASHTO) usually following recommendations by the each state department. Both interstate and US routes are coded under the USROUTE characteristic. Interstate numbers are assigned with even numbers for west to east routes and odd numbers for routes going south to north, starting with the lowest number in the lowest part of the nation and progressing higher nationwide. US route numbers are assigned with odd numbers for north and south routes with the low number beginning in the east and progressing higher toward the west. This numbering practice is used across all states for all interstates and US routes for the public traveling purposes. This information is required for roadways functionally classified as principal, minor arterials that have US route designations, and all Active Exclusive roads that are associated with Interstate and the US route. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/05/2025.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/interstates.zip

Bridges are defined in 335.074, F.S. as the following: Bridges are defined as having an opening measured along the center of the roadway of more than 20 feet between under croppings of the abutments or spring lines of arches or extreme ends of openings for multiple boxes and those bridges consisting of multiple pipes where the clear distance between openings is less than half of the smaller contiguous opening. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/26/2025.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/bridges.zip

The FDOT GIS Roads with Local Names feature class provides spatial information on local name of the roadway. The name given to a section of roadway to identify it from other sections of roadway. Local names are important for emergency medical services and law enforcement. This information is required for all roadways, including Active Exclusives. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/26/2025.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/localnam.zip

This dataset (2020-2023) is a compilation of the Land Use/Land Cover datasets created by the 5 Water Management Districts in Florida based on imagery -- Northwest Florida Water Management District (NWFWMD) 2022.Bay (1/4/2022 – 3/24/2022), Calhoun (1/7/2022 – 1/18/2022), Escambia (11/13/2021 – 1/15/2021), Franklin (1/7/2022 – 1/18/2022), Gadsden (1/7/2022 – 1/16/2022), Gulf (1/7/2022 – 1/14/2022), Holmes (1/8/2022 – 1/18/2022), Jackson (1/7/2022 – 1/14/2022), Jefferson (1/7/2022 – 2/16/2022), Leon (February 2022), Liberty (1/7/2022 – 1/16/2022), Okaloosa (10/31/2021 – 2/13/2022), Santa Rosa (10/26/2021-1/17/2022), Wakulla (1/7/2022 – 1/14/2022), Walton (1/7/2022-1/14/2022), Washington (1/13/2022 – 1/19/2022).Suwannee River Water Management District (SRWMD) 2022-2023.(Alachua (12/27/2022-12/28/2022, Baker (1/6/2023-1/15/2023), Bradford (11/9/2021-11/16/2021), Columbia (12/17/2021-1/29/2022), Gilchrist (12/17/2021-1/29/2022), Levy (12/17/2021-1/29/2022), Suwannee (12/17/2021-1/29/2022), Union (11/9/2021-11/9/2021).(Dixie 12/17/2021-01/29/2022), (Hamilton 12/17/2021-01/29/2022), (Jefferson 01/07/2022-02/16/2022), (Lafayette 12/17/2021-01/29/2022), (Madison 12/17/2021-01/29/2022), (Taylor 12/17/2021-01/29/2022).Southwest Florida Water Management District (SWFWMD) 2023. South Florida Water Management District (SFWMD) 2021-2023.St. John's River Water Management District (SJRWMD) 2020.Year Flight Season Counties:2020 (Dec. 2019 - Mar 2020) Alachua, Baker, Clay, Flagler, Lake, Marion, Osceola, Polk, Putnam.2021 (Dec. 2020 - Mar 2021) Brevard, Indian River, Nassau, Okeechobee, Orange, St. Johns, Seminole, Volusia. 2022 (Dec. 2021 - Mar 2022) Bradford, Union. Codes are derived from the Florida Land Use, Cover, and Forms Classification System (FLUCCS-DOT 1999) but may have been altered to accommodate region differences by each of the Water Management Districts.

A series of land use (LU) maps have been produced by the SFWMD since the early 1970s. It was produced by photointerpretation of 1:40,000 USGS NAPP color infrared photography. The work was carried out by multiple contractors, with significant input and review by a community of stakeholders at the District. The contract was managed by the Technical Resources Team (TRT) at SFWMD. The classification system is a modified version of the statewide FLUCCS (Florida Land Use and Cover Classification System) maintained by FDOT. This modified version uses classes that are mainly at the community level, but also includes a number of species of concern. Modifications and corrections have been made to the map since its creation. There is no formal assessment of accuracy parameters for this layer.Please note that there are several polygons that have a "0" FLUCCS code that represent gaps and slivers in the data. These polygons will be corrected during the next round of SFWMD Data Cleanup.

Drainage data is provided by Miami Dade County to FDOT District 6. The data (structures and pipes) is clipped to 100 foot buffer of the state road center line. Attribute data is collected by Miami Dade County. Updates are made on a quarterly basis.

Active FDOT Construction Project Feature Service is derived from FDOT Construction Office Enterprise Systems and the service is updated nightly. This Layer contains Active Construction Contracts which are updated with execution and completion dates via Site Manger, a Construction Contract Enterprise System. This layer is the Geospatial System of Reference for Active Construction Contracts.

REPLACED with https://experience.arcgis.com/experience/6223009ff5874e20b10ffb1e0cf81fb5Emergency management mapping application for FDOT District 3. This app is for editing and analysis of emergency management data related to emergency events in District 3.Map: https://fdot.maps.arcgis.com/home/item.html?id=846de82e6d1248139b645c50021f906dMissing Details:Source – Links to websites, apps, story maps, web maps and other resources related to this functionality should be added.Data Custodian – who is responsible/maintains the data (department, group)Update Frequency – (yearly, quarterly, monthly, weekly, daily, static, etc..)

description: Data produced for the Florida Fish and Wildlife Conservation Commission's Florida Marine Research Institute (FMRI) in partnership with the South Florida Water Management District (SFWMD). This data set consists of digital data describing the seagrass, unvegetated bottom, open water, algal beds, oysters, and apparent shoreline for the Southwest Florida Seagrass project area,which consists of Pine Island Sound, Matlacha Pass, San Carlos Bay, the lower Caloosahatchee River, and Estero Bay, in 1999. The data set includes an ArcInfo coverage that was digitized from 1:24000 scale natural color aerial photographs that were photogrammetrically georeferenced utilizing GPS ground control points. Data was stereoscopically photointerpreted and digitized using a Zeiss P3 analytical stereoplotter. The seagrass beds and additional categories were classified according to the FDOT Florida Land Use, Cover and Forms Classification System (FLUCCS). Minimum mapping unit (mmu) for all classes was 0.25 acres. A Photointerpretation Key was developed to aid in the classification of collected data. Ground truthing was performed during the photointerpretation phase to ensure classification accuracy and consistency of PI. Digital files were created in Microstation design file format (.dgn). 1999 SWIM Seagrass data was translated from ARC/Info to .dgn format and was referenced as collateral tie information during the compilation process. These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Office for Coastal Management (NOAAOCM), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public.; abstract: Data produced for the Florida Fish and Wildlife Conservation Commission's Florida Marine Research Institute (FMRI) in partnership with the South Florida Water Management District (SFWMD). This data set consists of digital data describing the seagrass, unvegetated bottom, open water, algal beds, oysters, and apparent shoreline for the Southwest Florida Seagrass project area,which consists of Pine Island Sound, Matlacha Pass, San Carlos Bay, the lower Caloosahatchee River, and Estero Bay, in 1999. The data set includes an ArcInfo coverage that was digitized from 1:24000 scale natural color aerial photographs that were photogrammetrically georeferenced utilizing GPS ground control points. Data was stereoscopically photointerpreted and digitized using a Zeiss P3 analytical stereoplotter. The seagrass beds and additional categories were classified according to the FDOT Florida Land Use, Cover and Forms Classification System (FLUCCS). Minimum mapping unit (mmu) for all classes was 0.25 acres. A Photointerpretation Key was developed to aid in the classification of collected data. Ground truthing was performed during the photointerpretation phase to ensure classification accuracy and consistency of PI. Digital files were created in Microstation design file format (.dgn). 1999 SWIM Seagrass data was translated from ARC/Info to .dgn format and was referenced as collateral tie information during the compilation process. These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Office for Coastal Management (NOAAOCM), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public.

The FDOT GIS Preliminary Context Classification feature class provides spatial information regarding preliminary context classification on selected Florida roadways. Context classification denotes the criteria for roadway design elements for safer streets that promote safety, economic development, and quality of life. All non-limited access state highways will be evaluated and assigned a current context classification. Limited access facilities are assigned only one code - LA - Limited Access. For growth development and design purposes, a future context classification will also be assigned. The District Complete Streets Coordinator will determine the current and future context classification designation, along with the dates, and coordinate with the District RCI staff to get this information into the RCI database. This information is required for All functionally classified roadways on the State Highway System (SHS). This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 06/21/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here:

The traffic_tmscls 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 classification 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_tmscls.zip

Every 10 years, the U.S. Census publishes a list of qualifying urban areas based on the results of the Decennial Census (87 FR 80114). Areas with population of 5,000 or greater are extracted and sent to the FDOT Districts to coordinate the adjustment process in cooperation with local agencies and communities. The original urban area polygons are adjusted or smoothed to accommodate a simplified planning, programming, and maintenance of federal-aid eligible roadways.Maps of the adjusted boundaries are reviewed by the Central Office and FHWA Division for final approvals. To qualify a roadway as part of an urban area, the territory identified according to the criteria must encompass at least 2,000 housing units or at least 5,000 persons. Roadways in urban areas with less than 5,000 persons will be coded as rural for HPMS reporting purposes. The term rural encompasses all population, housing, and territory not included within an urban area. Urban areas are expanded to include adjacent areas as provided for by FHWA regulations. This dataset is maintained in RCI by the TDA Office. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/13/2024.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/urban.zip

The FDOT Toll Roads feature class provides spatial information on Florida Toll Roads, including Florida's Turnpike, Alligator Alley, Beeline Expressway, etc. This information is required for all functionally classified roadways On or Off the SHS. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/12/2025.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/toll_roads.zip

In general, the mile markers are measured from west to east and south to north. Such as I-10 starting in Escambia County, bordering Alabama, with mile marker 1 then increases eastward. And for I-95 from Miami-Dade County starting with mile marker 1 then increases northward. The data is refreshed weekly and changes are made by the District Offices who are responsible to collect and upkeep the data. This data may also be collected for call boxes that are located at integral milepoints instead of the usual mile marker signs. This data is required for all interstate, tolled or non-tolled expressway facilities, and US routes. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/12/2025.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/milemarkers.zip

FDOT District IV Study Projects And Design Projects Funded For Construction

Studies (A Project Development and Environment (PD&E) Study is conducted Pre-Design Phase to ensure it meets the requirements of the National Environmental Policy Act)

Design Funded for Construction (A PD&E Study approved project funded & ready for construction)

Click the link to the right to see additional information of FDOT's 5 Year Work ProgramHelpful Notes: Groups of tools are found in the upper-left corner of the map (Near the FDOT Logo) Navigation buttons are in the upper-left corner. Zoom in (+) / out (-) (you can also zoom with the mouse scroll-wheel)

Home button that returns you to the default zoom levelTrack my location (Enables GPS on a mobile device) Address Search You can type an address into the Address Search bar (3400 W Commercial Blvd, Fort Lauderdale, FL, 33309, USA) & zoom to that location to easily identify any projects in proximity to that location. Pan You can Pan the map by left clicking & dragging the map.

HTML Pop-ups You can see detail information about a feature on the map by left clicking on it to open an HTML Pop-up window.

Additional directions on the use of this app can be found by clicking on the "User Guide" Link. Primary Operational Layers:

Studies (A Project Development and Environment (PD&E) Study is conducted Pre-Design Phase to ensure it meets the requirements of the National Environmental Policy Act) Design Projects Funded for Construction (A PD&E Study approved project funded & ready for construction)Click the link to the right to see additional information of FDOT's 5 Year Work Program

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