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TwitterThe Annual Average Daily Traffic (AADT) for sections of roads for all vehicle types reported in the 2023 Highway Performance Monitoring System (HPMS) federal report.
Annual Average Daily Traffic (AADT) is used to represent all vehicle traffic on a typical day of the year and is important for planning purposes, such as defining the federal functional classification of a roadway. The values are calculated using data collected from traffic counter devices, such as Automatic Traffic Recorders (ATR), Weigh In Motion (WIM) devices, and short term counters using tubes. All available traffic data collected throughout the year are then summed and divided by 365 to calculate the annual average daily traffic.
Reported Extent: State Highway System (i.e. all ADOT-owned roads), National Highway System (NHS), and all federal aid-eligible roads. Federal aid-eligible roads include urban roads classified as minor collectors or above (functional system 1-6) and rural roads classified as major collectors or above (function system 1-5). Roads where ATRs are available, counts are updated annually. For roads where short term counters must be used, traffic counts are collected every three years for all National Highway System (NHS) roads as well as interstates (functional system 1), principal arterials (functional systems 2-3), and sample panel sections. All other federal aid-eligible roads, including minor arterials and collectors, are collected every six years.
For undivided highways, which do not have a physical barrier between the two directions of traffic, values are reported as the sum total for both directions of travel. On divided highways, AADT is reported separately on the cardinal and non-cardinal directions of the roadway. Note, the cardinal direction refers to the direction of increasing mileposts.
Key Terms:
ADOT, MPD, 2023, HPMS, 2023 HPMS, Traffic Volume, Traffic Count
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TwitterMDOT 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
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TwitterTraffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).
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TwitterTraffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).
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TwitterTraffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).
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TwitterTraffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).
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TwitterFuture AADT represents an approximate 20-year forecast for Average Annual Daily Traffic (AADT), which is a measure of traffic for an average day of the year on the roadway. Future AADT may cover a period of 18 to 25 years but must be updated if the value is less than 18 years from reported Highway Performance Monitoring System (HPMS) year. Reported Extent: All sample panel sections. Sample panel sections are any roadways, or parts of roadways, that were identified by the Federal Highway Administration (FHWA) as requiring additional data to be reported in the 2024 HPMS report. Values may be available for other roads but are not actively maintained.
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Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 ATRs, located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 91 permanent, continuous automatic traffic recorders (ATRs) and short-term traffic counts. Program count data is collected in both directions (inventory & non-inventory) at regular locations on either a three (3) year or six (6) year cycle depending on the 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 2020), “1” represents the count taken in 2019, “2” represents the count taken in 2018, “3” represents the count taken in 2017 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 Federal, State & local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development & implementation of State highway improvement & 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 & efficiently meet MDOT SHA’s long-term traffic data monitoring & reporting requirements.
Annual Average Daily Traffic (AADT) data is updated & published on an annual basis for the prior year. This data is for the year 2024.
View the most current AADT data in the MDOT SHA Annual Average Daily Traffic (AADT) Locator
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TwitterThis dataset contains estimates of the average number of vehicles that used roads throughout the City of Detroit. Each record indicates the Annual Average Daily Traffic (AADT) and Commercial Annual Average Daily Traffic (CAADT) for a road segment, where the road segment is located, and other characteristics. This data is derived from Michigan Department of Transportation's (MDOT) Open Data Portal. SEMCOG was the source for speed limits and number of lanes.The primary measure, Annual Average Daily Traffic (AADT), is the estimated mean daily traffic volume for all types of vehicles. Commercial Annual Average Daily Traffic (CAADT) is the estimated mean daily traffic volume for commercial vehicles, a subset of vehicles included in the AADT. The Route ID is an identifier for each road in Detroit (e.g., Woodward Ave). Routes are divided into segments by features such as cross streets, and Location ID's are used to uniquely identify those segments. Along with traffic volume, each record also states the number of lanes, the posted speed limit, and the type of road (e.g., Trunkline or Ramp) based on the Federal Highway Administration (FHWA) functional classification system.According to MDOT's Traffic Monitoring Program a commercial vehicle would be anything Class 4 and up in the FHWA vehicle classification system. This includes vehicles such as buses, semi-trucks, and personal recreational vehicles (i.e., RVs or campers). Methods used to determine traffic volume vary by site, and may rely on continuous monitoring or estimates based on short-term studies. Approaches to vehicle classification similarly vary, depending on the equipment used at a site, and may consider factors such as vehicle weight and length between axles.For more information, please visit MDOT Traffic Monitoring Program.
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TwitterThis is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. Traffic monitoring data is a strategic resource for SHA and Maryland's Department of Transportation. 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. TMS is a product of the ISTEA Act of 1991 - which required a traffic data program to effectively and efficiently meet SHA's long-term traffic data monitoring and reporting requirements. The quality control feature of the system allow data edit checks and validation for data from the 84 permanent - continuous automatic traffic recorders (ATRs) and short-term traffic counts.The Maryland Traffic Volume Maps depict the Annual Average Daily Traffic (AADT) at various locations on Maryland's roadways by county. Traffic Volume data is collected from over 8700 program count stations and 84 ATRs - located throughout Maryland. 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. 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. Last Updated: Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Transportation/MD_AnnualAverageDailyTraffic/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 ATRs, located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 91 permanent, continuous automatic traffic recorders (ATRs) and short-term traffic counts. Program count data is collected in both directions (inventory & non-inventory) at regular locations on either a three (3) year or six (6) year cycle depending on the 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 2020), “1” represents the count taken in 2019, “2” represents the count taken in 2018, “3” represents the count taken in 2017 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 Federal, State & local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development & implementation of State highway improvement & 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 & efficiently meet MDOT SHA’s long-term traffic data monitoring & reporting requirements.
Annual Average Daily Traffic (AADT) data is updated & published on an annual basis for the prior year. This data is for the year 2024.
View the most current AADT data in the MDOT SHA Annual Average Daily Traffic (AADT) Locator
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TwitterThe Annual Average Daily Traffic (AADT) for sections of roads for all vehicle types reported in the 2024 Highway Performance Monitoring System (HPMS) federal report. Annual Average Daily Traffic (AADT) is used to represent all vehicle traffic on a typical day of the year and is important for planning purposes, such as defining the federal functional classification of a roadway. The values are calculated using data collected from traffic counter devices, such as Automatic Traffic Recorders (ATR), Weigh In Motion (WIM) devices, and short term counters using tubes. All available traffic data collected throughout the year are then summed and divided by 365 to calculate the annual average daily traffic. Reported Extent: State Highway System (i.e. all ADOT-owned roads), National Highway System (NHS), and all federal aid-eligible roads. Federal aid-eligible roads include urban roads classified as minor collectors or above (functional system 1-6) and rural roads classified as major collectors or above (function system 1-5). Roads where ATRs are available, counts are updated annually. For roads where short term counters must be used, traffic counts are collected every three years for all National Highway System (NHS) roads as well as interstates (functional system 1), principal arterials (functional systems 2-3), and sample panel sections. All other federal aid-eligible roads, including minor arterials and collectors, are collected every six years. On one-way roadways and ramps, the AADT represents the single-direction of traffic. For two-way roadways, AADT is reported only on the cardinal direction of the roadway and represents the total traffic for both the cardinal and non-cardinal directions of travel. Note, the cardinal direction refers to the direction of increasing mileposts.
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TwitterThis dataset contains estimates of the average number of vehicles that used roads throughout the City of Detroit in 2023. Each record indicates the Annual Average Daily Traffic (AADT) and Commercial Annual Average Daily Traffic (CAADT) for a road segment, where the road segment is located, and other characteristics. This data is derived from Michigan Department of Transportation's (MDOT) Open Data Portal. SEMCOG was the source for speed limits and number of lanes.The primary measure, Annual Average Daily Traffic (AADT), is the estimated mean daily traffic volume for all types of vehicles. Commercial Annual Average Daily Traffic (CAADT) is the estimated mean daily traffic volume for commercial vehicles, a subset of vehicles included in the AADT. The Route ID is an identifier for each road in Detroit (e.g., Woodward Ave). Routes are divided into segments by features such as cross streets, and Location ID's are used to uniquely identify those segments. Along with traffic volume, each record also states the number of lanes, the posted speed limit, and the type of road (e.g., Trunkline or Ramp) based on the Federal Highway Administration (FHWA) functional classification system.According to MDOT's Traffic Monitoring Program a commercial vehicle would be anything Class 4 and up in the FHWA vehicle classification system. This includes vehicles such as buses, semi-trucks, and personal recreational vehicles (i.e., RVs or campers). Methods used to determine traffic volume vary by site, and may rely on continuous monitoring or estimates based on short-term studies. Approaches to vehicle classification similarly vary, depending on the equipment used at a site, and may consider factors such as vehicle weight and length between axles.For more information, please visit MDOT Traffic Monitoring Program.
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TwitterThis dataset contains data on selected annual performance characteristics for the study corridors in the Importance of Highways to U.S. Agriculture Report. The dataset includes through lanes, annual average daily traffic (AADT), pavement condition, functional class of vehicles, National Highway System (NHS) designation, urban /rural designation, route number and corridor segment identification. The Volpe Center derived this study specific dataset from the Federal Highway Administration's (FHWA’s) Highway Performance Monitoring System (HPMS) data.
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TwitterThis dataset contains estimates of the average number of vehicles that used roads throughout the City of Detroit in 2019. Each record indicates the Annual Average Daily Traffic (AADT) and Commercial Annual Average Daily Traffic (CAADT) for a road segment, where the road segment is located, and other characteristics. This data is derived from Michigan Department of Transportation's (MDOT) Open Data Portal. SEMCOG was the source for speed limits and number of lanes.The primary measure, Annual Average Daily Traffic (AADT), is the estimated mean daily traffic volume for all types of vehicles. Commercial Annual Average Daily Traffic (CAADT) is the estimated mean daily traffic volume for commercial vehicles, a subset of vehicles included in the AADT. The Route ID is an identifier for each road in Detroit (e.g., Woodward Ave). Routes are divided into segments by features such as cross streets, and Location ID's are used to uniquely identify those segments. Along with traffic volume, each record also states the number of lanes, the posted speed limit, and the type of road (e.g., Trunkline or Ramp) based on the Federal Highway Administration (FHWA) functional classification system.According to MDOT's Traffic Monitoring Program a commercial vehicle would be anything Class 4 and up in the FHWA vehicle classification system. This includes vehicles such as buses, semi-trucks, and personal recreational vehicles (i.e., RVs or campers). Methods used to determine traffic volume vary by site, and may rely on continuous monitoring or estimates based on short-term studies. Approaches to vehicle classification similarly vary, depending on the equipment used at a site, and may consider factors such as vehicle weight and length between axles.For more information, please visit MDOT Traffic Monitoring Program.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Traffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).
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TwitterThis dataset contains estimates of the average number of vehicles that used roads throughout the City of Detroit in 2020. Each record indicates the Annual Average Daily Traffic (AADT) and Commercial Annual Average Daily Traffic (CAADT) for a road segment, where the road segment is located, and other characteristics. This data is derived from Michigan Department of Transportation's (MDOT) Open Data Portal. SEMCOG was the source for speed limits and number of lanes.The primary measure, Annual Average Daily Traffic (AADT), is the estimated mean daily traffic volume for all types of vehicles. Commercial Annual Average Daily Traffic (CAADT) is the estimated mean daily traffic volume for commercial vehicles, a subset of vehicles included in the AADT. The Route ID is an identifier for each road in Detroit (e.g., Woodward Ave). Routes are divided into segments by features such as cross streets, and Location ID's are used to uniquely identify those segments. Along with traffic volume, each record also states the number of lanes, the posted speed limit, and the type of road (e.g., Trunkline or Ramp) based on the Federal Highway Administration (FHWA) functional classification system.According to MDOT's Traffic Monitoring Program a commercial vehicle would be anything Class 4 and up in the FHWA vehicle classification system. This includes vehicles such as buses, semi-trucks, and personal recreational vehicles (i.e., RVs or campers). Methods used to determine traffic volume vary by site, and may rely on continuous monitoring or estimates based on short-term studies. Approaches to vehicle classification similarly vary, depending on the equipment used at a site, and may consider factors such as vehicle weight and length between axles.For more information, please visit MDOT Traffic Monitoring Program.
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TwitterThis dataset contains estimates of the average number of vehicles that used roads throughout the City of Detroit. Each record indicates the Annual Average Daily Traffic (AADT) and Commercial Annual Average Daily Traffic (CAADT) for a road segment, where the road segment is located, and other characteristics. This data is derived from Michigan Department of Transportation's (MDOT) Open Data Portal. SEMCOG was the source for speed limits and number of lanes.
The primary measure, Annual Average Daily Traffic (AADT), is the estimated mean daily traffic volume for all types of vehicles. Commercial Annual Average Daily Traffic (CAADT) is the estimated mean daily traffic volume for commercial vehicles, a subset of vehicles included in the AADT. The Route ID is an identifier for each road in Detroit (e.g., Woodward Ave). Routes are divided into segments by features such as cross streets, and Location ID's are used to uniquely identify those segments. Along with traffic volume, each record also states the number of lanes, the posted speed limit, and the type of road (e.g., Trunkline or Ramp) based on the Federal Highway Administration (FHWA) functional classification system.
According to MDOT's Traffic Monitoring Program a commercial vehicle would be anything Class 4 and up in the FHWA vehicle classification system. This includes vehicles such as buses, semi-trucks, and personal recreational vehicles (i.e., RVs or campers). Methods used to determine traffic volume vary by site, and may rely on continuous monitoring or estimates based on short-term studies. Approaches to vehicle classification similarly vary, depending on the equipment used at a site, and may consider factors such as vehicle weight and length between axles.
For more information, please visit MDOT Traffic Monitoring Program.
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TwitterThis dataset contains estimates of the average number of vehicles that used roads throughout the City of Detroit. Each record indicates the Annual Average Daily Traffic (AADT) and Commercial Annual Average Daily Traffic (CAADT) for a road segment, where the road segment is located, and other characteristics. This data is derived from Michigan Department of Transportation's (MDOT) Open Data Portal. SEMCOG was the source for speed limits and number of lanes.
The primary measure, Annual Average Daily Traffic (AADT), is the estimated mean daily traffic volume for all types of vehicles. Commercial Annual Average Daily Traffic (CAADT) is the estimated mean daily traffic volume for commercial vehicles, a subset of vehicles included in the AADT. The Route ID is an identifier for each road in Detroit (e.g., Woodward Ave). Routes are divided into segments by features such as cross streets, and Location ID's are used to uniquely identify those segments. Along with traffic volume, each record also states the number of lanes, the posted speed limit, and the type of road (e.g., Trunkline or Ramp) based on the Federal Highway Administration (FHWA) functional classification system.
According to MDOT's Traffic Monitoring Program a commercial vehicle would be anything Class 4 and up in the FHWA vehicle classification system. This includes vehicles such as buses, semi-trucks, and personal recreational vehicles (i.e., RVs or campers). Methods used to determine traffic volume vary by site, and may rely on continuous monitoring or estimates based on short-term studies. Approaches to vehicle classification similarly vary, depending on the equipment used at a site, and may consider factors such as vehicle weight and length between axles.
For more information, please visit MDOT Traffic Monitoring Program.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Traffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).
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TwitterThe Annual Average Daily Traffic (AADT) for sections of roads for all vehicle types reported in the 2023 Highway Performance Monitoring System (HPMS) federal report.
Annual Average Daily Traffic (AADT) is used to represent all vehicle traffic on a typical day of the year and is important for planning purposes, such as defining the federal functional classification of a roadway. The values are calculated using data collected from traffic counter devices, such as Automatic Traffic Recorders (ATR), Weigh In Motion (WIM) devices, and short term counters using tubes. All available traffic data collected throughout the year are then summed and divided by 365 to calculate the annual average daily traffic.
Reported Extent: State Highway System (i.e. all ADOT-owned roads), National Highway System (NHS), and all federal aid-eligible roads. Federal aid-eligible roads include urban roads classified as minor collectors or above (functional system 1-6) and rural roads classified as major collectors or above (function system 1-5). Roads where ATRs are available, counts are updated annually. For roads where short term counters must be used, traffic counts are collected every three years for all National Highway System (NHS) roads as well as interstates (functional system 1), principal arterials (functional systems 2-3), and sample panel sections. All other federal aid-eligible roads, including minor arterials and collectors, are collected every six years.
For undivided highways, which do not have a physical barrier between the two directions of traffic, values are reported as the sum total for both directions of travel. On divided highways, AADT is reported separately on the cardinal and non-cardinal directions of the roadway. Note, the cardinal direction refers to the direction of increasing mileposts.
Key Terms:
ADOT, MPD, 2023, HPMS, 2023 HPMS, Traffic Volume, Traffic Count