Description: The Traffic Signals feature class shows the location of traffic signals in the state of Florida for on system roadways as derived from event mapping Feature 322, characteristics MAINTAGC, SDESTRET, SIGNALID, SIGNALNC, SIGNALTY, SIGOPDTE, SIGSTRCT and TYPECABL from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The Traffic Signals feature class shows the location of traffic signals in the state of Florida for on system roadways as derived from event mapping Feature 322, characteristics MAINTAGC, SDESTRET, SIGNALID, SIGNALNC, SIGNALTY, SIGOPDTE, SIGSTRCT and TYPECABL from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The HPMS feature class shows HPMS sample locations as derived from event mapping Feature 118, characteristic HPMSIDNO from the FDOT Roadway Characteristics Inventory data. In addition, this feature class contains supplemental information like STATEXPT and LOCALNAM for each sample. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Name: Highway Performance Monitoring System labels
Display Field: MNG_DIST_C
Type: Feature Layer
Geometry Type: esriGeometryPolyline
Description: The HPMS feature class shows HPMS sample locations as derived from event mapping Feature 118, characteristic HPMSIDNO from the FDOT Roadway Characteristics Inventory data. In addition, this feature class contains supplemental information like STATEXPT and LOCALNAM for each sample. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The Access Management Classification feature class shows the classification for FDOT roadways as derived from event mapping Feature 146, characteristic ACMANCLS from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The Access Management Classification feature class shows the classification for FDOT roadways as derived from event mapping Feature 146, characteristic ACMANCLS from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: This dataset represents the existing, planned and conceptual non-motorized trails that form a land-based trail network of state and regional importance. This map is a synthesis of trail planning efforts being conducted by cities, counties, transportation planning organizations and other agencies and non-profits throughout Florida. This data does not include all existing, proposed and conceptual trails in Florida, but focuses on linear trails of statewide and regional significance to form a comprehensive connected system. The SUN trail data is the state companion to community greenways and trails, bicycle and pedestrian master plans, It encompasses a combination of multiple and single-use trails to accommodate uses such as: walking, hiking, bicycling, mountain biking, horseback riding, skating and wildlife viewing.
Service Item Id: a4595968699a41648bdf5cda4424bf57
Copyright Text: Florida Department of Environmental Protection, Office of Greenways & Trails
Systems Planning Office - Florida Department of Transportation
Transportation Statistics Office - Florida Department of Transportation
Description: This dataset represents the existing, planned and conceptual non-motorized trails that form a land-based trail network of state and regional importance. This map is a synthesis of trail planning efforts being conducted by cities, counties, transportation planning organizations and other agencies and non-profits throughout Florida. This data does not include all existing, proposed and conceptual trails in Florida, but focuses on linear trails of statewide and regional significance to form a comprehensive connected system. The SUN trail data is the state companion to community greenways and trails, bicycle and pedestrian master plans, It encompasses a combination of multiple and single-use trails to accommodate uses such as: walking, hiking, bicycling, mountain biking, horseback riding, skating and wildlife viewing.
Service Item Id: a4595968699a41648bdf5cda4424bf57
Copyright Text: Florida Department of Environmental Protection, Office of Greenways & Trails
Systems Planning Office - Florida Department of Transportation
Transportation Statistics Office - Florida Department of Transportation
Description: The Basemap Routes 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. The spatial data also contains measure information for event mapping.
Description: The Basemap Routes 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. The spatial data also contains measure information for event mapping.
Description: The LRS Arcs feature are used to construct the LRS Routes with Measures feature class. They represent the building blocks of the official FDOT linear referencing system (LRS) which is the spatial representation of the roadways in RCI.
Description: The Toll Roads feature class shows the location of Toll roads in the state of Florida as derived from event mapping Feature 122, characteristic TOLLROAD from the FDOT Roadway Characteristics Inventory data. It also includes supplemental RCI information like the State Route number and name of the toll road from other RCI features and characteristics. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The Major Toll Roads 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. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The Interstates feature class shows Florida interstate highways as derived from event mapping Feature 113, characteristic(s) USROUTE and USROUTE2 from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The Interstates feature class shows Florida interstate highways as derived from event mapping Feature 113, characteristic(s) USROUTE and USROUTE2 from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The US Routes feature class shows the location of US Routes in the state of Florida as derived from event mapping Feature 113, characteristics USROUTE and USROUTE2 from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The US Routes feature class shows the location of US Routes in the state of Florida as derived from event mapping Feature 113, characteristics USROUTE and USROUTE2 from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The State Roads feature class shows State Road locations as derived from event mapping Feature 111, characteristics STROADNO and STRDNUM2 from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The State Roads feature class shows State Road locations as derived from event mapping Feature 111, characteristics STROADNO and STRDNUM2 from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The County Roads feature class shows the location of county roads as derived from event mapping Feature 111, characteristic STROADNO from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The County Roads feature class shows the location of county roads as derived from event mapping Feature 111, characteristic STROADNO from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The Roadways with Local Name feature class shows the local name of a roadway as derived from event mapping Feature 114, characteristic LOCALNAM from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The Roadways with Local Name feature class shows the local name of a roadway as derived from event mapping Feature 114, characteristic LOCALNAM from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
Description: The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.A population field extracted from the 2010 Census block data was added to this file in April 2012 for query purposes.The Federal Highway Administration only recognizes areas with a population of 5,000 or greater. This dataset was queried from the original census data to meet that criteria. The data was then sent to the Districts to coordinate smoothing efforts.
Description: The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.A population field extracted from the 2010 Census block data was added to this file in April 2012 for query purposes.The Federal Highway Administration only recognizes areas with a population of 5,000 or greater. This dataset was queried from the original census data to meet that criteria. The data was then sent to the Districts to coordinate smoothing efforts.