With more than 44,000 Portable Traffic Count (PTC) Stations located throughout North Carolina, Traffic Survey has adopted a collection schedule. Please see our website: https://www.ncdot.gov/projects/trafficsurvey/for further details. The data in this file was digitized referencing the available NCDOT Linear Referencing System (LRS) and is not the result of using GPS equipment in the field, nor latitude and longitude coordinates. The referencing provided is based on the 2015 Quarter 1 publication of the NCDOT Linear Referencing System (LRS). Some differences will be found when using different quarterly publications with this data set. The data provided is seasonally factored to an estimate of an annual average of daily traffic. The statistics provided are: CVRG_VLM_I: Traffic Survey's seven digit unique station identifier COUNTY: County NameROUTE: Numbered route identifier, or local name if not State maintainedLOCATION: Description of the Annual Average Daily Traffic station location AADT_2015: Estimated Annual Average Daily Traffic in vehicles per day for 2015AADT_2014: Estimated Annual Average Daily Traffic in vehicles per day for 2014AADT_2013: Estimated Annual Average Daily Traffic in vehicles per day for 2013 AADT_2012: Estimated Annual Average Daily Traffic in vehicles per day for 2012 AADT_2011: Estimated Annual Average Daily Traffic in vehicles per day for 2011 AADT_2010: Estimated Annual Average Daily Traffic in vehicles per day for 2010 AADT_2009: Estimated Annual Average Daily Traffic in vehicles per day for 2009 AADT_2008: Estimated Annual Average Daily Traffic in vehicles per day for 2008 AADT_2007: Estimated Annual Average Daily Traffic in vehicles per day for 2007 AADT_2006: Estimated Annual Average Daily Traffic in vehicles per day for 2006 AADT_2005: Estimated Annual Average Daily Traffic in vehicles per day for 2005 AADT_2004: Estimated Annual Average Daily Traffic in vehicles per day for 2004 AADT_2003: Estimated Annual Average Daily Traffic in vehicles per day for 2003 AADT_2002: Estimated Annual Average Daily Traffic in vehicles per day for 2002 Note: A value of zero in the AADT field indicates no available AADT data for that year. Please note the following: Not ALL roads have PTC stations located on them. With the exception of Interstate, NC and US routes, NCDOT County Maps refer to roads using a four digit Secondary Road Number, not a road’s local name. If additional information is needed, or an issue with the data is identified, please contact the Traffic Survey Group at 919 814-5116. Disclaimer related to the spatial accuracy of this file: Data in this file was digitized referencing the available NCDOT GIS Data Layer, LRS Arcs Shapefile Format from Quarter 1 release and is not the result of using GPS equipment in the field.North Carolina Department of Transportation shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of data, and relative positional accuracy of the data. This data cannot be construed to be a legal document.
The AADT shapefile is a station point shapefile of Annual Average Daily Traffic (AADT) estimates. This data includes the data submitted to FHWA for Highway Performance Monitoring System (HPMS) AADT data reporting for 2019. Data is reported for AADT on all highways with a Functional Classification (FC) above Local. A full coverage is provided for these routes where AADT segmentation is based on network configuration, travel patterns, and land use. The extent of highway this AADT represents has not been determined. An AADT is an Annual Average Daily Traffic volume for all lanes in both directions passing a point on the highway system. It represents the average of all days during the year with typical traffic conditions. An AADT estimate is generated using procedures that comply with the standards specified in the Traffic Monitoring Guide published by the Federal Highway Administration. There are over 44,000 AADT stations that provide traffic data history from 2002 to 2019. With more than 44,000 Portable Traffic Count (PTC) Stations located throughout North Carolina, Traffic Survey has adopted the following data collection schedule: Interstate route volumes are collected on an annual basis; US and NC route volumes are also collected on an annual basis with the exception of stations that fall within the off cycle urban areas. (See urban area cycle below.) Secondary Road (SR) volumes are collected on a biennial cycle with approximately half being counted each year. If a particular secondary road is not available for the most current year, it may be available for the prior year. North Carolina's eighteen largest urban areas are counted on a biennial cycle with 10 urban areas counted during the even years, and 8 urban areas counted during the odd years. The following urban areas are collected during the even year cycle: Asheville, Charlotte, Concord-Kannapolis, Fayetteville, Gastonia, Goldsboro, Greenville, and Jacksonville. The following urban areas are collected during the odd year cycle: Burlington, Chapel Hill, Durham, Greensboro, Hickory, High Point, Raleigh, Rocky Mount, Wilmington, and Winston-Salem. The data in this file was digitized referencing the available NCDOT Linear Referencing System (LRS) and is not the result of using GPS equipment in the field, nor latitude and longitude coordinates. The referencing provided is based on the 2020 Quarter 1 publication of the NCDOT Linear Referencing System (LRS). Some differences will be found when using different quarterly publications with this data set. The data provided is seasonally factored to an estimate of an annual average of daily traffic. The statistics provided are: Location_ID - 10 digit unique count location identifier, ROUTE: Numbered route identifier, or local name if not State maintained, LOCATION: Description of the Annual Average Daily Traffic station location. AADT_2019: Estimated Annual Average Daily Traffic in vehicles per day for 2019 AADT_2018: Estimated Annual Average Daily Traffic in vehicles per day for 2018 AADT_2017: Estimated Annual Average Daily Traffic in vehicles per day for 2017 AADT_2016: Estimated Annual Average Daily Traffic in vehicles per day for 2016 AADT_2015: Estimated Annual Average Daily Traffic in vehicles per day for 2015 AADT_2014: Estimated Annual Average Daily Traffic in vehicles per day for 2014 AADT_2013: Estimated Annual Average Daily Traffic in vehicles per day for 2013 AADT_2012: Estimated Annual Average Daily Traffic in vehicles per day for 2012 AADT_2011: Estimated Annual Average Daily Traffic in vehicles per day for 2011 AADT_2010: Estimated Annual Average Daily Traffic in vehicles per day for 2010 AADT_2009: Estimated Annual Average Daily Traffic in vehicles per day for 2009 AADT_2008: Estimated Annual Average Daily Traffic in vehicles per day for 2008 AADT_2007: Estimated Annual Average Daily Traffic in vehicles per day for 2007 AADT_2006: Estimated Annual Average Daily Traffic in vehicles per day for 2006 AADT_2005: Estimated Annual Average Daily Traffic in vehicles per day for 2005 AADT_2004: Estimated Annual Average Daily Traffic in vehicles per day for 2004 AADT_2003: Estimated Annual Average Daily Traffic in vehicles per day for 2003 AADT_2002: Estimated Annual Average Daily Traffic in vehicles per day for 2002 Note: A value of zero in the AADT field indicates no available AADT data for that year. Please note the following: Not ALL roads have PTC stations located on them. With the exception of Interstate, NC and US routes, NCDOT County Maps refer to roads using a four digit Secondary Road Number, not a road’s local name. If additional information is needed, or an issue with the data is identified, please contact the Traffic Survey Group at (919) 707-0936. Disclaimer related to the spatial accuracy of this file: Data in this file was digitized referencing the available NCDOT GIS Data Layer, LRS Arcs Shapefile Format from Quarter 1 release and is not the result of using GPS equipment in the field. North Carolina Department of Transportation shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of data, and relative positional accuracy of the data. This data cannot be construed to be a legal document.
https://www.icpsr.umich.edu/web/ICPSR/studies/4078/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/4078/terms
This study investigated whether the North Carolina State Highway Patrol (NCSHP) practiced racial profiling. The NCSHP provided data on all vehicular stops (Parts 1 and 2), written warnings (Part 3), and citations (Part 4) its officers issued in 2000. This included data on what the stops or tickets were for, the race, sex, and age of the driver, and the make, model, and year of the car being driven. Data on accidents in 2000 (Part 5), also obtained from the NCSHP, were used to examine whether there were racial disparities in unsafe driving practices. These data included information about what caused the accident and the race, sex, and age of the driver. The NCSHP also supplied data on all officers who worked for the NCSHP in 2000 (Part 6), including their race, age, and rank. The data in Part 6 can be linked to the data in Parts 3 and 4. In addition, two surveys of North Carolina drivers were conducted to gather information on reported typical driving behaviors that may influence the probability of being stopped, and to gather information about stops conducted by law enforcement agencies across the state. One was conducted using a sample of North Carolina drivers who had recently renewed their licenses (Part 7), and the other used a sample of North Carolina drivers who were ticketed for speeding between June 1, 1999, and June 1, 2000 (Part 8).
The AADT file is a station point location of Annual Average Daily Traffic (AADT) estimates. This includes the data submitted to FHWA for Highway Performance Monitoring System (HPMS) AADT reporting for 2021. Data are reported for AADT on all highways with a Functional Classification (FC) above Local. A full coverage is provided for these routes where AADT segmentation is based on network configuration, travel patterns, and land use. The extent of highway this AADT represents has not been determined. An AADT is an Annual Average Daily Traffic volume for all lanes in both directions passing a point on the highway system. It represents the average of all days during the year with typical traffic conditions. An AADT estimate is generated using procedures that comply with the standards specified in the Traffic Monitoring Guide published by the Federal Highway Administration. There are over 44,000 AADT stations that provide traffic data history from 2002 to the current year. With these collection locations, Traffic Survey has adopted the following data collection schedule: Interstate route volumes are collected on an annual basis; US and NC route volumes are also collected on an annual basis except for stations that fall within the off-cycle urban areas. (See urban area cycle below.) Secondary Road (SR) volumes are collected on a biennial cycle with approximately half being counted each year. If a particular secondary road is not available for the most current year, it may be available for the prior year. North Carolina's eighteen largest urban areas are counted on a biennial cycle with 10 urban areas counted during the even years, and 8 urban areas counted during the odd years. The following urban areas are collected during the even year cycle: Asheville, Charlotte, Concord-Kannapolis, Fayetteville, Gastonia, Goldsboro, Greenville, and Jacksonville. The following urban areas are collected during the odd year cycle: Burlington, Chapel Hill, Durham, Greensboro, Hickory, High Point, Raleigh, Rocky Mount, Wilmington, and Winston-Salem. Data in this file derives from NCDOT Roads & Highways, Quarter 1 publication of the current calendar year. The referencing provided is based on the 2022 Quarter1publication of the NCDOT Linear Referencing System (LRS). Some differences will be found when using different quarterly publications with this data set. The data provided is seasonally factored to an estimate of an annual average of daily traffic. The statistics provided are Location_ID - 10-digit unique count location identifier, ROUTE: Numbered route identifier, or local name if not State maintained, LOCATION: Description of the Annual Average Daily Traffic station location. AADT 2021: Estimated Annual Average Daily Traffic in vehicles per day for 2021 AADT_2018: Estimated Annual Average Daily Traffic in vehicles per day for 2018 AADT_2017: Estimated Annual Average Daily Traffic in vehicles per day for 2017 AADT_2016: Estimated Annual Average Daily Traffic in vehicles per day for 2016 AADT_2015: Estimated Annual Average Daily Traffic in vehicles per day for 2015 AADT_2014: Estimated Annual Average Daily Traffic in vehicles per day for 2014 AADT_2013: Estimated Annual Average Daily Traffic in vehicles per day for 2013 AADT_2012: Estimated Annual Average Daily Traffic in vehicles per day for 2012 AADT_2011: Estimated Annual Average Daily Traffic in vehicles per day for 2011 AADT_2010: Estimated Annual Average Daily Traffic in vehicles per day for 2010 AADT_2009: Estimated Annual Average Daily Traffic in vehicles per day for 2009 AADT_2008: Estimated Annual Average Daily Traffic in vehicles per day for 2008 AADT_2007: Estimated Annual Average Daily Traffic in vehicles per day for 2007 AADT_2006: Estimated Annual Average Daily Traffic in vehicles per day for 2006 AADT_2005: Estimated Annual Average Daily Traffic in vehicles per day for 2005 AADT_2004: Estimated Annual Average Daily Traffic in vehicles per day for 2004 AADT_2003: Estimated Annual Average Daily Traffic in vehicles per day for 2003 AADT_2002: Estimated Annual Average Daily Traffic in vehicles per day for 2002 Note: A value of zero in the AADT field indicates no available AADT data for that year. Please note the following: Not ALL roads have PTC stations located on them. Except for Interstate, NC and US routes, NCDOT County Maps refer to roads using a four-digit Secondary Road Number, not a road’s local name. If additional information is needed, or an issue with the data is identified, please contact the Traffic Survey Group at (919) 707-0936. Disclaimer related to the spatial accuracy of this file: This data cannot be construed to be a legal document.
The Traffic Volume Trends montly report is a natinal data report that provides quality controlled vehicle miles traveled data for each State for all roadways
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The data is provided by the North Carolina Department of Transportation. It is based on current crash data in the North Carolina Crash Database as reported by the NC State Highway Patrol and municipalities throughout the state. There is a lag in processing crash data, particularly data from municipalities that submit crash reports using paper forms. As a result, the dataset here is preliminary and may represent an undercount of the true crash totals. From the NC DOT: The data are intended to provide the public with a general overview of traffic safety trends, should not be used for planning purposes, and are not considered authoritative. Data presented herein may differ slightly from NCDOT published data due to differences in reporting and update frequencies. The intent of presenting these data is to provide insights and trends for general informational purposes only, and they are not intended as official authoritative data. The raw data is provided directly to our research team as a .csv file containing the county-level aggregated number of traffic crashes each day. The data is updated monthly, and contains the number of crashes of different severity types, including fatal, incapacitating injury, nonincapacitating injury, possible injury, no injury, and unknown injuries.
This dataset provides information about 2010 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in North Carolina
This dataset provides information about 2005 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in North Carolina
This service provides lines representing posted speed limits along centerlines of North Carolina state-maintained roads. This data comes from traffic ordinances governing speed limit; where there is no ordinance, the speed limit is 35 within municipalities and 55 outside. The N.C. Department of Transportation sets the speed limit for all state-maintained roads, including access-controlled highways, which are highways with medians that require drivers to enter or exit only at interchanges with bridges, inside the town or city limits. For other state-maintained roads within the municipal limits, NCDOT and the town or city must concur before changing the speed limit. Roads are designed for a specific speed. NCDOT may review the speed limit for various reasons, such as part of a study to improve highway safety, or for proposed new developments. Citizens and local officials may also request NCDOT to conduct a speed zone study to determine whether a road has the appropriate speed limits and signage.The department considers several factors when adjusting the speed limit, such as:Alignment of the roadwayTypes of development along the roadwayThe density, or number, of driveways on a corridorHow far one can see the roadCrash historyVarious speed dataOne of the most common types of speed data NCDOT uses is based on the speed at or below which 85 percent of drivers are traveling. NCDOT uses the 85th percentile to help avoid posting speed limits that are artificially low, which can become difficult to enforce. In the absence of strict enforcement, most people drive at the speed they are comfortable with, regardless of the speed limit.MetadataThe metadata for the contained layer of the NCDOT Speed Limit Service is available through the following link:Speed LimitPoint of Contact North Carolina Department of Information Technology -Transportation, GIS UnitGIS Data and Services ConsultantContact information:gishelp@ncdot.govCentury Center – Building B1020 Birch Ridge DriveRaleigh, NC 27610Hours of service: 9:00am - 5:00pm Monday – FridayContact instructions: Please send an email with any issues, questions, or comments regarding the Speed Limit data. If it is an immediate need, please indicate as such in the subject line in an email.NCDOT GIS Unit GO! NC Product TeamLastUpdated: 2024-01-01 00:00:00
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New Caledonia NC: Container Port Traffic: TEU (20 Foot Equivalent Units) data was reported at 113,000.000 TEU in 2017. This records a decrease from the previous number of 114,500.000 TEU for 2016. New Caledonia NC: Container Port Traffic: TEU (20 Foot Equivalent Units) data is updated yearly, averaging 113,000.000 TEU from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 119,661.000 TEU in 2008 and a record low of 83,205.000 TEU in 2007. New Caledonia NC: Container Port Traffic: TEU (20 Foot Equivalent Units) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Caledonia – Table NC.World Bank.WDI: Transportation. Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units.; ; UNCTAD (http://unctad.org/en/Pages/statistics.aspx); Sum;
On a typical day in the United States, police officers make more than 50,000 traffic stops. The Stanford Open Policing Project team is gathering, analyzing, and releasing records from millions of traffic stops by law enforcement agencies across the country. Their goal is to help researchers, journalists, and policymakers investigate and improve interactions between police and the public.
If you'd like to see data regarding other states, please go to https://www.kaggle.com/stanford-open-policing.
This dataset includes 1.6 gb of stop data from North Carolina, covering all of 2010 onwards. Please see the data readme for the full details of the available fields.
This dataset was kindly made available by the Stanford Open Policing Project. If you use it for a research publication, please cite their working paper: E. Pierson, C. Simoiu, J. Overgoor, S. Corbett-Davies, V. Ramachandran, C. Phillips, S. Goel. (2017) “A large-scale analysis of racial disparities in police stops across the United States”.
Data available for use in making maps and products related to Hurricane Florence.Esri is supporting organizations that are responding to hurricane/cyclone disasters with software, data, imagery, project services, and technical support. If you are in need of software or support, complete the Request Assistance form. All requests should be justified in the message section of the form and are subject to approval.
The Traffic Segment Event file contains Annual Average Daily Traffic (AADT) and Vehicle Class (VC) estimates. This resource represents the approved annual submission to the FHWA, Highway Performance Monitoring System (HPMS) reporting for calendar year 2021. We report AADT on all highways functionally classified (FC) above Local. A full coverage is provided for routes where AADT segmentation is based on network configuration, travel patterns, and land use. Where divided highways occur, the AADT total for both directions is referenced on the inventory direction. Data is provided for ramps also. The ramp data does not cover all ramp segments, but all major traffic flows at interchanges are reported. Some maintained traffic segments require multiple records due to route ID changes at the county boundary in the linear referencing system (LRS). Traffic statistics for these segments are the same on each side of the county boundary but are maintained in this format to preserve the different location referencing data. Over 31,000 reference records (labeled “MAINT” in the SOURCE field) are required to provide event data for all maintained AADT segments. Supplemental AADT are provided on the routes that are Functionally Classified LOCAL. These roadways are not reported in the maintenance table described above for HPMS reporting. A reference is generated through a spatial join between the monitoring station point and the LRS Milepoint upon which it falls. The extent of highway this AADT represents has not been determined. This process captures the AADT for Local routes into the published table without requiring a comprehensive maintenance process. The AADT on Local routes may extend beyond the arc used to report it. The user must exercise their judgment in determining the extent of highway for an AADT in this case. There are over 16,000 records that are supplemental using this method, one record for each station captured. Vehicle Class data is provided for those segments where vehicle class data was collected. Truck volume data is collected at stations and the volumes are annualized. Annualized truck percentages for Single Unit (SU) and Multi Unit (MU) trucks are generated from this data. These truck percentages are applied to the 2021 AADT estimates to generate 2021 truck volume estimates. The truck percentage and volume estimates are provided in the shapefile. The VC coverage includes the National Highway System (NHS) and the NC Truck Network. VC data is not collected on routes not part of these systems and truck statistics are not provided on these segments. The referencing provided is based on the 2022 Quarter 1 publication of the NCDOT Linear Referencing System (LRS) maintained by the NCDIT GIS Unit. This is the official 2021 data set reported for HPMS routes, is the basis for the highway mileage reports, and is used to estimate vehicle miles of travel (VMT) for 2021. Differences in the Milepoints and references may be found when using other quarterly publications with this data set.
CMPD conducts an average of 120,000 traffic stops per year. Under North Carolina state law (G.S. 143B-902-903), the CMPD as well as other law enforcement agencies in the state are required to collect information on all traffic stops, the reason for the stop, and the type of enforcement action taken. Information on the driver’s sex, race, ethnicity, and age is collected, compiled, and reported to the NC Department of Justice. Information on whether the driver or passenger(s) were searched is also collected. For more information, please visit http://charlottenc.gov/CMPD/Pages/Resources/OpenData_Source.aspx
CMPD is committed to deploying traffic officers to areas where we experience high crime and victimization. Our focus is also in the geographical areas where concerns are reported by community members. We as a police department have a responsibility to those communities, to address their concerns and take appropriate enforcement action in an effort to keep their neighborhoods safe. Additionally, we are not only reacting to crime but proactively engaging in strategies that are intended to prevent criminal activity from occurring by placing officers in areas with a greater statistical history of crime.
State comparisons data for motor vehicle registrations, traffic fatalities, highway mileage, gasoline tax, etc. Data include a national ranking.
Traffic signal location list for the town of Chapel Hill. This data set includes light cycle information as well as as intersection information.
The Town of Chapel Hill traffic signal system project upgraded the existing 14-year-old system of about 115 signals in Chapel Hill and Carrboro. The $5 million project, funded by the Town of Chapel Hill and American Recovery and Reinvestment Act funds, began in 2010 and was completed in the summer of 2012.
The project’s key elements are:
• pedestrian countdown displays at locations with existing pedestrian signals
• replacement/upgrade of existing cabinets and controllers
• new traffic signal phasing at selected locations
• emergency vehicle preemption at selected locations
• bicycle activated loops at selected locations.
• fiber optic communication cable infrastructure
• closed-circuit television (CCTV) equipment at selected locations
• new system detectors
The signal system project was coupled with an effort to install fiber optic communications cable linking Town of Chapel Hill administrative, service and recreation facilities. The fiber optic part of the project installed about 30 miles of municipal fiber optic cable connecting 15 Town facilities. The cable routing and capacity design included considerations for future needs such as connectivity for schools. The project will provide high speed data communications to facilitate voice, data and video services for Town facilities.
The project also included the installation of a new Traffic Management Center (TMC), located in the Public Works Department at 6850 Millhouse Road. The TMC receives feeds from closed circuit television cameras trained on major arteries, allowing operations staff to track traffic conditions at key locations in the community. The TMC is equipped with eight monitors to view the traffic flow through 16 different intersections that are equipped with traffic cameras. The Town of Chapel Hill does not archive or retain any of the images from the traffic cameras. Similar systems have been installed in municipalities across NC and the United States. Benefits of these systems include enhanced roadway safety, decreased traffic congestion during special events and rush hour, faster programming for real-time adjustments to traffic signals, reduced travel time, and improved air quality.
The Traffic Segment Event file contains Annual Average Daily Traffic (AADT) and Vehicle Class (VC) estimates. This resource represents the approved annual submission to the FHWA, Highway Performance Monitoring System (HPMS) reporting for calendar year 2021. We report AADT on all highways functionally classified (FC) above Local. A full coverage is provided for routes where AADT segmentation is based on network configuration, travel patterns, and land use. Where divided highways occur, the AADT total for both directions is referenced on the inventory direction. Data is provided for ramps also. The ramp data does not cover all ramp segments, but all major traffic flows at interchanges are reported. Some maintained traffic segments require multiple records due to route ID changes at the county boundary in the linear referencing system (LRS). Traffic statistics for these segments are the same on each side of the county boundary but are maintained in this format to preserve the different location referencing data. Over 31,000 reference records (labeled “MAINT” in the SOURCE field) are required to provide event data for all maintained AADT segments. Supplemental AADT are provided on the routes that are Functionally Classified LOCAL. These roadways are not reported in the maintenance table described above for HPMS reporting. A reference is generated through a spatial join between the monitoring station point and the LRS Milepoint upon which it falls. The extent of highway this AADT represents has not been determined. This process captures the AADT for Local routes into the published table without requiring a comprehensive maintenance process. The AADT on Local routes may extend beyond the arc used to report it. The user must exercise their judgment in determining the extent of highway for an AADT in this case. There are over 16,000 records that are supplemental using this method, one record for each station captured. Vehicle Class data is provided for those segments where vehicle class data was collected. Truck volume data is collected at stations and the volumes are annualized. Annualized truck percentages for Single Unit (SU) and Multi Unit (MU) trucks are generated from this data. These truck percentages are applied to the 2021 AADT estimates to generate 2021 truck volume estimates. The truck percentage and volume estimates are provided in the shapefile. The VC coverage includes the National Highway System (NHS) and the NC Truck Network. VC data is not collected on routes not part of these systems and truck statistics are not provided on these segments. The referencing provided is based on the 2022 Quarter 1 publication of the NCDOT Linear Referencing System (LRS) maintained by the NCDIT GIS Unit. This is the official 2021 data set reported for HPMS routes, is the basis for the highway mileage reports, and is used to estimate vehicle miles of travel (VMT) for 2021. Differences in the Milepoints and references may be found when using other quarterly publications with this data set.
Charlotte-Mecklenburg Police Department (CMPD) is committed to deploying traffic officers to areas where we experience high crime and victimization. Our focus is also in the geographical areas where concerns are reported by community members. We as a police department have a responsibility to those communities, to address their concerns and take appropriate enforcement action in an effort to keep their neighborhoods safe. Additionally, we are not only reacting to crime but proactively engaging in strategies that are intended to prevent criminal activity from occurring by placing officers in areas with a greater statistical history of crime. Under North Carolina state law (G.S. 143B-902-903), the CMPD as well as other law enforcement agencies in the state are required to collect information on all traffic stops, the reason for the stop, and the type of enforcement action taken. Information on the driver’s sex, race, ethnicity, and age is collected, compiled, and reported to the NC De
This dataset provides information about 2015 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in North Carolina
The NCDOT Functional Class map service represents state maintained roads with functional classification assignments. This data is updated quarterly; usually February, May, August, November. As stated by the United States Federal Highway Administration, functional classification is the process by which streets and highways are grouped into classes, or systems, according to the character of service they are intended to provide. Basic to this process is the recognition that individual roads and streets do not serve travel independently in any major way. Rather, most travel involves movement through a network of roads. It becomes necessary then to determine how this travel can be channelized within the network in a logical and efficient manner. Functional classification defines the nature of this channelization process by defining the part that any particular road or street should play in serving the flow of trips through a highway network. There are three main functional classes as defined by the United States Federal Highway Administration: arterial, collector, and local. Arterial roads generally provide the fastest method of travel and typically have low accessibility from neighboring roads. They are usually designed with long-distance travel in mind and are not as common as the other two functional classes of roads. Collector roads are the second most common and are used as a connection between local roads and arterial roads. They provide a balance between access and mobility. Local roads are the most common roads by far, but are also the slowest for travel. They are designed specifically to have high accessibility and to connect to collector and arterial roads, and are typically not used for through traffic. The owner of this data is the NCDOT Transportation Planning Division.@@ (Wednesday, April 06, 2022)
With more than 44,000 Portable Traffic Count (PTC) Stations located throughout North Carolina, Traffic Survey has adopted a collection schedule. Please see our website: https://www.ncdot.gov/projects/trafficsurvey/for further details. The data in this file was digitized referencing the available NCDOT Linear Referencing System (LRS) and is not the result of using GPS equipment in the field, nor latitude and longitude coordinates. The referencing provided is based on the 2015 Quarter 1 publication of the NCDOT Linear Referencing System (LRS). Some differences will be found when using different quarterly publications with this data set. The data provided is seasonally factored to an estimate of an annual average of daily traffic. The statistics provided are: CVRG_VLM_I: Traffic Survey's seven digit unique station identifier COUNTY: County NameROUTE: Numbered route identifier, or local name if not State maintainedLOCATION: Description of the Annual Average Daily Traffic station location AADT_2015: Estimated Annual Average Daily Traffic in vehicles per day for 2015AADT_2014: Estimated Annual Average Daily Traffic in vehicles per day for 2014AADT_2013: Estimated Annual Average Daily Traffic in vehicles per day for 2013 AADT_2012: Estimated Annual Average Daily Traffic in vehicles per day for 2012 AADT_2011: Estimated Annual Average Daily Traffic in vehicles per day for 2011 AADT_2010: Estimated Annual Average Daily Traffic in vehicles per day for 2010 AADT_2009: Estimated Annual Average Daily Traffic in vehicles per day for 2009 AADT_2008: Estimated Annual Average Daily Traffic in vehicles per day for 2008 AADT_2007: Estimated Annual Average Daily Traffic in vehicles per day for 2007 AADT_2006: Estimated Annual Average Daily Traffic in vehicles per day for 2006 AADT_2005: Estimated Annual Average Daily Traffic in vehicles per day for 2005 AADT_2004: Estimated Annual Average Daily Traffic in vehicles per day for 2004 AADT_2003: Estimated Annual Average Daily Traffic in vehicles per day for 2003 AADT_2002: Estimated Annual Average Daily Traffic in vehicles per day for 2002 Note: A value of zero in the AADT field indicates no available AADT data for that year. Please note the following: Not ALL roads have PTC stations located on them. With the exception of Interstate, NC and US routes, NCDOT County Maps refer to roads using a four digit Secondary Road Number, not a road’s local name. If additional information is needed, or an issue with the data is identified, please contact the Traffic Survey Group at 919 814-5116. Disclaimer related to the spatial accuracy of this file: Data in this file was digitized referencing the available NCDOT GIS Data Layer, LRS Arcs Shapefile Format from Quarter 1 release and is not the result of using GPS equipment in the field.North Carolina Department of Transportation shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of data, and relative positional accuracy of the data. This data cannot be construed to be a legal document.