Esri ArcGIS Online (AGOL) Hosted Feature Layer which provides access to the MDOT SHA Roadway Functional Classification data product.MDOT SHA Roadway Functional Classification data consists of linear geometric features which showcase the functional classification of roadways throughout the State of Maryland. Roadway Functional Classification is defined as the role each roadway plays in moving vehicles throughout a network of highways. MDOT SHA Roadway Functional Classification data is primarily used for general planning purposes, and for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. MDOT SHA Roadway Functional Classification data is not a complete representation of all roadway geometry.The State of Maryland's roadway system is a vast network that connects places and people within and across county borders. Planners and engineers have developed elements of this network with particular travel objectives in mind. These objectives range from serving long-distance passenger and freight needs to serving neighborhood travel from residential developments to nearby shopping centers. The functional classification of roadways defines the role each element of the roadway network plays in serving these travel needs. ​ Over the years, functional classification has come to assume additional significance beyond its purpose as a framework for identifying the particular role of a roadway in moving vehicles through a network of highways. Functional classification carries with it expectations about roadway design, including its speed, capacity and relationship to existing and future land use development. Federal legislation continues to use functional classification in determining eligibility for funding under the Federal-aid program. Transportation agencies describe roadway system performance, benchmarks and targets by functional classification. As agencies continue to move towards a more performance-based management approach, functional classification will be an increasingly important consideration in setting expectations and measuring outcomes for preservation, mobility and safety.MDOT SHA Roadway Functional Classification data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning & Preliminary Engineering (OPPE) Data Services Division (DSD). This data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Functional Classification data is key to understanding the role each roadway plays in moving vehicles throughout the State of Maryland's network of highways.MDOT SHA Roadway Functional Classification data is owned & maintained by the MDOT SHA Office of Planning & Preliminary Engineering (OPPE). This data product is updated & published on an annual basis for the prior year. This data product is for the year 2024.For more information related to the data, contact MDOT SHA OPPE Data Services Division (DSD):Email: DSD@mdot.maryland.gov For more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Roadway Functional Classification consists of linear features which specifically show the functional classification of public roadways in the State of Maryland. Roadway Functional Classification is defined as the role each roadway plays in moving vehicles throughout a network of highways. Roadway Functional Classification is primarily used for general planning purposes, and for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Functional Classification data is not a complete representation of all roadway geometry. Maryland's roadway system is a vast network that connects places and people within and across county borders. Planners and engineers have developed elements of this network with particular travel objectives in mind. These objectives range from serving long-distance passenger and freight needs to serving neighborhood travel from residential developments to nearby shopping centers. The functional classification of roadways defines the role each element of the roadway network plays in serving these travel needs. ​Over the years, functional classification has come to assume additional significance beyond its purpose as a framework for identifying the particular role of a roadway in moving vehicles through a network of highways. Functional classification carries with it expectations about roadway design, including its speed, capacity and relationship to existing and future land use development. Federal legislation continues to use functional classification in determining eligibility for funding under the Federal-aid program. Transportation agencies describe roadway system performance, benchmarks and targets by functional classification. As agencies continue to move towards a more performance-based management approach, functional classification will be an increasingly important consideration in setting expectations and measuring outcomes for preservation, mobility and safety. Roadway Functional Classification data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). This data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Functional Classification data is key to understanding the role each roadway plays in moving vehicles throughout Maryland's network of highways. Roadway Functional Classification data is updated and published on an annual basis for the prior year. This data is for the year 2017. View the most current Roadway Functional Classification data in the MDOT SHA Roadway Functional Classes ApplicationFor additional information, contact the MDOT SHA Geospatial Technologies Email: GIS@mdot.state.md.us For additional information related to the Maryland Department of Transportation (MDOT) Website: https://www.mdot.maryland.gov/ For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA): Website: https://roads.maryland.gov/Home.aspx MDOT SHA Geospatial Data Legal Disclaimer: The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness o

Roadway Administrative Classification (State Classifications) data consists of linear geometric features which specifically show State highways included in the State Primary and State Secondary systems throughout Maryland. Roadway Administrative Classification is primarily used for general planning and funding purposes by showcasing the State Primary vs. State Secondary systems. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Administrative Classification is not a complete representation of all roadway geometry. Roadway Administrative Classification data is developed and maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). Roadway Administrative Classification data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Administrative Classification data is key to understanding which State highways are included in the State Primary and State Secondary systems throughout Maryland. Roadway Administrative Classification data is updated and published on an annual basis for the prior year. This data is for the year 2017. For additional information, contact the MDOT SHA Geospatial Technologies Team: Email: GIS@mdot.state.md.us For additional MDOT information, visit the Maryland Department of Transportation (MDOT): Website: https://www.mdot.maryland.gov/ For additional MDOT SHA information, visit the Maryland Department of Transportation State Highway Administration (MDOT SHA): Website: https://www.roads.maryland.gov/Home.aspx MDOT SHA Geospatial Data Legal Disclaimer: The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.

Roadway Administrative Classification (State Classifications) data consists of linear geometric features which specifically show State highways included in the State Primary and State Secondary systems throughout Maryland. Roadway Administrative Classification is primarily used for general planning and funding purposes by showcasing the State Primary vs. State Secondary systems. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Administrative Classification is not a complete representation of all roadway geometry.Roadway Administrative Classification data is developed and maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). Roadway Administrative Classification data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Administrative Classification data is key to understanding which State highways are included in the State Primary and State Secondary systems throughout Maryland.Roadway Administrative Classification data is updated and published on an annual basis for the prior year. This data is for the year 2017. For additional information, contact the MDOT SHA Geospatial Technologies Team: Email: GIS@mdot.state.md.usFor additional MDOT information, visit the Maryland Department of Transportation (MDOT): Website: https://www.mdot.maryland.gov/For additional MDOT SHA information visit the Maryland Department of Transportation State Highway Administration (MDOTSHA): Website: https://www.roads.maryland.gov/Home.aspx\MDOT SHA Geospatial Data Legal Disclaimer:The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/Transportation/MD_RoadwayAdministrativeClassification/FeatureServer/0

Esri ArcGIS Online (AGOL) Hosted Feature Layer for accessing the MDOT SHA Roadway National Highway System (NHS) data product.MDOT SHA Roadway National Highway System (NHS) data consists of linear geometric features which represent the geographic extent of roadways throughout the State of Maryland that are included in the National Highway System (NHS). MDOT SHA Roadway NHS data is includes information such as NHS Facility Description & Type, along with the government agency responsible for maintaining the roadway. MDOT SHA Roadway NHS data is primarily used for general planning purposes, and for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. MDOT SHA Roadway NHS data is not a complete representation of all roadway geometry.MDOT SHA Roadway NHS data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). MDOT SHA Roadway NHS data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. MDOT SHA Roadway NHS data is key to understanding which roadways are included within the NHS from the State of Maryland.MDOT SHA Roadway NHS data is owned & maintained by the MDOT SHA Office of Planning & Preliminary Engineering (OPPE). MDOT SHA Roadway NHS data is updated & published on an annual basis for the prior year. This data is for the year 2022.View the most current MDOT SHA Roadway NHS data in the Maryland NHS Routes w/ Maintenance Responsibility ApplicationFor more information related to the data, contact MDOT SHA OPPE Data Services Division (DSD):Email: DSD@mdot.maryland.govFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Esri ArcGIS Online (AGOL) Hosted Feature Layer for accessing the MDOT SHA Roadway Administrative Classifications (State Classifications) data product. MDOT SHA Roadway Administrative Classifications (State Classifications) data consists of linear geometric features which specifically show State-maintained roadways included in the State Primary & State Secondary systems throughout the State of Maryland. Roadway Administrative Classifications data is primarily used for general planning & funding purposes by showcasing the State Primary vs. State Secondary highway systems. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Administrative Classification is not a complete representation of all roadway geometry.MDOT SHA Roadway Administrative Classifications data is maintained & updated by the MDOT SHA Office of Planning & Preliminary Engineering (OPPE) Data Services Division (DSD). Roadway Administrative Classifications data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Administrative Classification data is key to understanding which State-maintained roadways are included in the State Primary & State Secondary systems throughout Maryland.MDOT SHA Roadway Administrative Classifications data is updated & published on an annual basis for the prior year. This data is for the year 2023For more information related to the data, contact MDOT SHA OPPE Data Services Division (DSD):Email: DSD@mdot.maryland.gov For more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Roadway National Highway System (NHS) consists of linear geometric features which specifically show public roadways included in the National Highway System (NHS) within the State of Maryland. Roadway National Highway System (NHS) data is classified by NHS Description Type, which includes Expanded NHS, Major Airport, Major Inter-City Bus Terminal, Major Pipeline Terminal, Major Port Facility, Major Transportation or Multi-Modal Passenger Terminal, Major Rail / Truck Terminal, and Non-Connector NHS. Roadway National Highway System (NHS) data is primarily used for general planning purposes, and for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway National Highway System (NHS) data is not a complete representation of all roadway geometry. Roadway National Highway System (NHS) data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). Roadway National Highway System (NHS) data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway National Highway System (NHS) data is key to understanding and identifying which roadways are included within the NHS from the State of Maryland. Roadway National Highway System (NHS) data is updated and published on an annual basis for the prior year. This data is for the year 2017. View the most current Roadway National Highway System (NHS) data in the Maryland NHS Routes w/ Maintenance Responsibility Application For additional information, contact the MDOT SHA Geospatial Technologies Email: GIS@mdot.state.md.us For additional information related to the Maryland Department of Transportation (MDOT) Website: https://www.mdot.maryland.gov/ For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA): Website: https://roads.maryland.gov/Home.aspx MDOT SHA Geospatial Data Legal Disclaimer: The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.

Roadway Access Control data consists of linear geometric features which showcase the types of control over vehicle access to public roadways in the State of Maryland. Roadway Access Control data is commonly classified by three (3) control types, which are Full Access Control, Partial Access Control, and No Access Control. Roadway Access Control data is primarily used for general planning purposes, investment requirements modeling to calculate capacity and estimate type of design, in truck size and weight studies, and for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Access Control data is not a complete representation of all roadway geometry. Roadway Access Control data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). Roadway Access Control data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Access Control data is key to understanding the types of control over vehicle access to public roadways in the State of Maryland. Roadway Access Control data is updated and published on an annual basis for the prior year. This data is for the year 2017. For additional information, contact the MDOT SHA Geospatial Technologies Email: GIS@mdot.state.md.us For additional information related to the Maryland Department of Transportation (MDOT) Website: https://www.mdot.maryland.gov/ For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA): Website: https://roads.maryland.gov/Home.aspx MDOT SHA Geospatial Data Legal Disclaimer: The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.

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.

Maryland Bicycle Level of Traffic Stress (LTS) An overview of the methodology and attribute data is provided below. For a detailed full report of the methodology, please view the PDF published by the Maryland Department of Transportation here. The Maryland Department of Transportation is transitioning from using the Bicycle Level of Comfort (BLOC) to using the Level of Traffic Stress (LTS) for measuring the “bikeability” of the roadway network. This transition is in coordination with the implementation of MDOT SHA’s Context Driven Design Guidelines and other national and departmental initiatives. LTS is preferred over BLOC as LTS requires fewer variables to calculate including:Presence and type of bicycle facilitySpeed limitNumber of Through Lanes/Traffic VolumeTraditionally, the Level of Traffic Stress (LTS) (scale “1” to “4”) is a measure for assessing the quality of the roadway network for its comfort with various bicycle users. The lower the LTS score, the more inviting the bicycle facility is for more audiences.LTS Methodology (Overview) MDOT’s LTS methodology is based on the metrics established by the Mineta Transportation Institute (MTI) Report 11-19 “Low-Stress Bicycling and Network Connectivity (May 2012) - additional criteria refined by Dr. Peter G. Furth (June 2017) below and Montgomery County's Revised Level of Traffic Stress. Shared-use Path Data Development and Complimentary Road Separated Bike Routes DatasetA complimentary dataset – Road Separated Bike Routes, was completed prior to this roadway dataset. It has been provided to the public via (https://maryland.maps.arcgis.com/home/item.html?id=1e12f2996e76447aba89099f41b14359). This first dataset is an inventory of all shared-use paths open to public, two-way bicycle access which contribute to the bicycle transportation network. Shared-use paths and sidepaths were assigned an LTS score of “0” to indicate minimal interaction with motor vehicle traffic. Many paved loop trails entirely within parks, which had no connection to the adjacent roadway network, were not included but may be included in future iterations. Sidepaths, where a shared-use path runs parallel to an adjacent roadway, are included in this complimentary Road Separated Bike Routes Dataset. Sidepaths do not have as an inviting biking environment as shared-use paths with an independent alignment due to the proximity of motor vehicle traffic in addition to greater likelihood of intersections with more roadways and driveways. Future iterations of the LTS will assign an LTS score of “1” to sidepaths. On-street Bicycle Facility Data Development This second dataset includes all on-road bicycle facilities which have a designated roadway space for bicycle travel including bike lanes and protected bike lanes. Marked shared lanes in which bicycle and motor vehicle traffic share travel lanes were not included. Shared lanes, whether sharrows, bike boulevards or signed routes were inventoried but treated as mixed traffic for LTS analysis. The bicycle facilities included in the analysis include:

Standard Bike Lanes – A roadway lane designated for bicycle travel at least 5-feet-wide. Bike lanes may be located against the curb or between a parking lane and a motor vehicle travel lane. Buffered bike lanes without vertical separation from motor vehicle traffic are included in this category. Following AASHTO and MDOT SHA design standards, bike lanes are assumed to be at least 5-feet-wide even through some existing bike lanes are less than 5-feet-wide.
Protected Bike Lanes – lanes located within the street but are separated from motor vehicle travel lanes by a vertical buffer, whether by a row of parked cars, flex posts or concrete planters. Shoulders – Roadway shoulders are commonly used by bicycle traffic. As such, roadways with shoulders open to bicycle traffic were identified and rated for LTS in relation to adjacent traffic speeds and volumes as well as the shoulder width. Shoulders less than 5-feet-wide, the standard bike lane width, were excluded from analysis and these roadway segments were treated as mixed traffic.

The Office of Highway Development at MDOT SHA provided the on-street bicycle facility inventory data for state roadways. The shared-use path inventory and on-street bicycle facility inventory was compiled from local jurisdiction’s open-source download or shared form the GIS/IT departments. Before integrating into OMOC, these datasets were verified by conducting desktop surveys and site visits, and by consulting with local officials and residents.
Data UsesThe 2022 LTS data produced through this process can be used in a variety of planning exercises. The consistent metrics applied across the state will help inform bicycle mobility and accessibility decisions at state and local levels. Primarily, the LTS analysis illustrates how bikeable Maryland roads are where the greatest barriers lie. While most roads in the state are an LTS 1, the main roadways which link residential areas with community services are typically LTS 4. In the coming months, MDOT will use the LTS in variety of way including:

Conducting a bicycle network analysis to develop accessibility measures and potential performance metrics. Cross-referencing with state crash location data; Performing gap analysis to help inform project prioritization.

Data Limitations A principle of data governance MDOT strives to provide the best possible data products. While the initial LTS analysis of Maryland’s bicycle network has many uses, it should be used with a clear understanding of the current limitations the data presents.

Assumptions - As noted earlier in this document, some of the metrics used to determine LTS score were estimated. Speed limits for many local roadways were not included in the original data and were assigned based on the functional classification of the roadway. Speed limits are also based on the posted speed limit, not the prevailing operating vehicle speeds which can vary greatly. Such discrepancies between actual and assumed conditions could introduce margins of error in some cases. As data quality improves with future iterations, the LTS scoring accuracy will also improve. Generalizations - MDOT’s LTS methodology follows industry standards but needs to account for varying roadway conditions and data reliability from various sources. The LTS methodology aims to accurately capture Maryland’s bicycle conditions and infrastructure but must consider data maintenance requirements. To limit data maintenance generalizations were made in the methodology so that a score could be assigned. Specifically, factors such as intersections, intersection approaches and bike lane blockages are not included in this initial analysis. LTS scores may be adjusted in the future based on MDOT review, updated industry standards, and additional LTS metrics being included in OMOC such as parking and buffer widths.
Timestamped - As the LTS score is derived from a dynamic linear referencing system (LRS), any LTS analysis performed reflects the data available in OMOC. Each analysis must be considered ‘timestamped’ and becoming less reliable with age. As variables within OMOC change, whether through documented roadway construction, bikeway improvements or a speed limit reduction, LTS scores will also change. Fortunately, as this data is updated in the linear referencing system, the data becomes more reliable and LTS scores become more accurate. --------------------------------------------------------------------------------------------------------------------------------------------------------------------Level of Traffic Stress (LTS) Attribute Metadata OBJECTID | GIS Object IDState ID (ID) | Unique identification number provided by Maryland State Highway Administration (MDOT SHA)Route ID (ROUTEID) | Unique identification number for the roadway segment/record as determined by Maryland State Highway Administration (MDOT SHA) From Measure (FROMMEASURE) | The mileage along the roadway record that the specific roadway conditions change and maintain the same conditions until To MeasureTo Measure (TOMEASURE) | The mileage along the roadway record that the specific roadway conditions change and maintain the same conditions since From MeasureRoadway Functional Class (FUNCTIONAL_CLASS) | The functional classification of the roadway as determined by the Federal Highway Administration in coordination with the Maryland Department of Transportation State Highway Administration (MDOT SHA). All roadway records have a functional classification value. The following values represent the functional classification:

1 - Local 2 - Minor collector 3 - Major collector 4 - Minor arterial 5 - Principal Arterial (other) 6 - Principal Arterial (other Freeways and Expressways) 7 - Interstate

Annual Average Daily Traffic (AADT) | The Annual Average Daily Traffic (AADT) represents the average number of motor vehicles that pass along a roadway segment during a 24-hour period. The value is derived from MDOT SHA’s Traffic Monitoring System (TMS), the state’s clearinghouse for all traffic volume records. Roadway Speed Limit (SPEED_LIMIT) | The posted speed limit for a roadway segment as assigned by the MDOT SHA for state roadways and the local jurisdiction’s transportation management agency. Values for SPEED_LIMIT are measured in miles per hour (mph) in 5 mph increments from 5 mph through 70 mph. Roadway Access Control (ACCESS_CONTROL) | The access control indicates the types of entry points along the roadway segment, ranging from full to no access control. Interstates and other state roadways with no at-grade crossings are full access control, whereas a neighborhood street open to all modes of traffic represents a roadway with no access control. The values in

MDOT SHA Annual Average Daily Traffic (AADT) Points data consists of point geometric features which represent traffic count locations along public roadways in the State of Maryland. Traffic counts are performed in order to calculate the annual average daily traffic (AADT), annual average weekday traffic (AAWDT), and AADT based on vehicle class (current year only) for locations along public roadways in the State of Maryland. Overall percent utilization, percent utilization based on vehicle class, and truck-specific percent utilization are showcased as statistical metrics for each location where applicable. Ten years of historic AADT and AAWDT traffic count information is also available for each location where applicable. Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 automatic traffic recorders (ATRs), located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 84 permanent, continuous ATRs and short-term traffic counts. To date, four (4) ATRs have been removed from the ATR Program. Program count data is collected (both directions) at regular locations on either a three (3) year or six (6) year cycle depending on type of roadway. Growth Factors are applied to counts which were not taken during the current year and the counts are factored based on the past yearly growth of an associated ATR. Counters are placed for 48 hours on a Monday or Tuesday and are picked up that Thursday or Friday, respectively. The ATR and toll count data is collected on a continuous basis. Toll station data is provided by the Maryland Transportation Authority (MDTA). A special numeric code was added to the AADT numbers, starting in 2006, to identify the years when the count was actually taken. The last digit represents the number of years prior to the actual count. Where “0” represents the current year when data was collected (in 2014), “1” represents the count taken in 2013, “2” represents the count taken in 2012, “3” represents the count taken in 2011 and so forth. Annual Average Daily Traffic (AADT) data is a strategic resource for the Federal Highway Administration (FHWA), the Maryland Department of Transportation (MDOT), the Maryland Department of Transportation State Highway Administration (MDOT SHA), as well as many other State and local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development and implementation of State highway improvement and safety programs. The MDOT SHA Traffic Monitoring System (TMS) is a product of the ISTEA Act of 1991, which required a traffic data program to effectively and efficiently meet MDOT SHA’s long-term traffic data monitoring and reporting requirements. Annual Average Daily Traffic (AADT) data is updated and published on an annual basis for the prior year. This data is for the year 2019. Last Updated: May 2020 (05/21/2020), View the most current AADT data in the Maryland Annual Average Daily Traffic (AADT) Locator For AADT data information, contact the MDOT SHA Traffic Monitoring System (TMS) Team Email: TMS@mdot.maryland.gov For additional information, contact MDOT SHA Geospatial Technologies, Email: GIS@mdot.maryland.gov MDOT SHA Geospatial Data Legal Disclaimer: The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs

Esri ArcGIS Online Hosted Feature Layer which provides access to the MDOT SHA Roadway Access Control data product.MDOT SHA Roadway Access Control data consists of linear geometric features which showcase the types of control over vehicle access to roadways throughout the State of Maryland. Roadway Access Control data is commonly classified by three (3) control types, which are Full Access Control, Partial Access Control, and No Access Control. Roadway Access Control data is primarily used for general planning purposes, investment requirements modeling to calculate capacity and estimate type of design, in truck size and weight studies, and for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Access Control data is not a complete representation of all roadway geometry.MDOT SHA Roadway Access Control data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning & Preliminary Engineering (OPPE) Data Services Division (DSD). Roadway Access Control data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Access Control data is key to understanding the types of control over vehicle access to roadways throughout the State of Maryland.MDOT SHA Roadway Access Control data is updated & published on an annual basis for the prior year. This data is for the year 2020.For more information related to the data, contact MDOT SHA OPPE Data Services Division (DSD):Email: DSD@mdot.maryland.govFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Roadway Access Control data consists of linear geometric features which showcase the types of control over vehicle access to public roadways in the State of Maryland. Roadway Access Control data is commonly classified by three (3) control types, which are Full Access Control, Partial Access Control, and No Access Control. Roadway Access Control data is primarily used for general planning purposes, investment requirements modeling to calculate capacity and estimate type of design, in truck size and weight studies, and for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Access Control data is not a complete representation of all roadway geometry.Roadway Access Control data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). Roadway Access Control data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Access Control data is key to understanding the types of control over vehicle access to public roadways in the State of Maryland.Roadway Access Control data is updated and published on an annual basis for the prior year. This data is for the year 2017.For additional information, contact the MDOT SHA Geospatial TechnologiesEmail: GIS@mdot.state.md.usFor additional information related to the Maryland Department of Transportation (MDOT):https://www.mdot.maryland.gov/For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA):https://roads.maryland.gov/Home.aspxMDOT SHA Geospatial Data Legal Disclaimer:The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Map Service Link:https://mdgeodata.md.gov/imap/rest/services/Transportation/MD_HighwayPerformanceMonitoringSystem/MapServer/0

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) System (MTS). The MTS 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 be divided, 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) System (MTS). The MTS 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 be divided, 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. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

This resource is a member of a series. 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. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Esri ArcGIS Online (AGOL) Hosted Feature Layer which provides access to the MDOT SHA Pavement Condition NHS data product.MDOT SHA Pavement Condition (NHS) data consists of linear geometric features which represent roadway pavement conditions along the National Highway System (NHS) throughout the State of Maryland. This data product includes the national transportation performance measure infrastructure conditions, specifically the Good, Fair, & Poor condition ratings. These condition ratings, depending on surface type, are based on roughness, cracking, rutting & faulting.MDOT SHA Pavement Condition NHS data is owned & maintained by the MDOT SHA Office of Materials Technology (OMT). This data product is consistently updated on an annual basis for the prior year. This data product is for the year 2023. Though this data product as a whole is owned & maintained by MDOT SHA, the pavement conditions along roadways maintained by other Federal, State, County, and local government agencies are included within this data product. Roadway maintenance responsibility information can be further understood through the attribute values related to each linear segment.MDOT SHA Pavement Condition (NHS) data includes performance measures for pavements that are based on three condition ratings of Good, Fair, & Poor calculated for each pavement section, as described in Detailed in “National Performance Management Measures for Assessing Pavement Condition,” 23 CFR 490 Subpart C (Code of Federal Regulations). The included Condition Ratings are determined or calculated as follows:International Roughness Index (IRI) Condition Rating shall be determined / calculated for all pavement types using the following criteria. If an IRI value of a pavement section is: -- Less than 95, the IRI rating for the pavement section is Good;- Between 95 and 170, the IRI rating for the pavement section is Fair; and- Greater than 170, the IRI rating for the pavement section is Poor.Cracking Condition Rating shall be determined/calculated using the following criteria:(i) For asphalt pavement sections -- If the Cracking_Percent value of a section is less than 5 percent, the cracking rating for the pavement section is Good;- If the Cracking_Percent value of a section is equal to or greater than 5 percent and less than or equal to 20 percent the cracking rating for the pavement section is Fair; and- If the Cracking_Percent value of a section is greater than 20 percent the cracking rating for the pavement section is Poor.(ii) For jointed concrete pavement sections -- If the Cracking_Percent value of a section is less than 5 percent, the cracking rating for the pavement section is Good;- If the Cracking_Percent value of a section is equal to or greater than 5 percent and less than or equal to 15 percent the cracking rating for the pavement section is Fair; and- If the Cracking_Percent value of a section is greater than 15 percent the cracking rating for the pavement section is Poor.(iii) For CRCP sections:- If the Cracking_Percent value of a section is less than 5 percent, the cracking rating for the pavement section is Good;- If the Cracking_Percent value of a section is equal to or greater than 5 percent and less than or equal to 10 percent, the cracking rating for the pavement section is Fair; and- If the Cracking_Percent value of a section is greater than 10 percent, the cracking rating for the pavement section is Poor.Rutting or Faulting Condition Rating shall be determined / calculated using the following criteria.(i) For asphalt pavement:- If the rutting value of a section is less than 0.20 inches, the rutting rating for the pavement section is Good;- If the rutting value of a section is equal to or greater than 0.20 inches and less than or equal to 0.40 inches, the rutting rating for the pavement section is Fair; and- If the rutting value of a section in is greater than 0.40 inches, the rutting rating for the pavement section is Poor.(ii) For jointed concrete pavement:- If the faulting value of a section is less than 0.10 inches, the faulting rating for the pavement section is Good;- If the faulting value of a section is equal to or greater than 0.10 inches and less than or equal to 0.15 inches, the faulting rating for the pavement section is Fair; and If the faulting value of a section is greater than 0.15 inches, the faulting rating for the pavement section is Poor.- The overall pavement condition to calculate good/poor metrics combines consideration of IRI, cracking and rutting/faulting, depending on surface type. Overall Pavement Condition Rating is determined or calculated as follows:Good- For asphalt and jointed concrete pavements if all three metrics (IRI, cracking, and rutting/faulting) are good.- For continuous concrete pavements if both IRI and cracking are good.Poor- For asphalt and jointed concrete pavements if at least two metrics (IRI, cracking, and rutting/faulting) are poor.- For continuous concrete pavements if both IRI and cracking are poor.Fair - For all other combinationsFor additional information, contact the MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

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.

The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.