12 datasets found
  1. a

    NCDOT Annual Average Daily Traffic (AADT) Traffic Segments

    • hub.arcgis.com
    • hub-onslow.opendata.arcgis.com
    • +1more
    Updated Jan 14, 2021
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    Onslow County GIS (2021). NCDOT Annual Average Daily Traffic (AADT) Traffic Segments [Dataset]. https://hub.arcgis.com/maps/29519882e9f74e6d959ee1c05e2d5364
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    Dataset updated
    Jan 14, 2021
    Dataset authored and provided by
    Onslow County GIS
    Area covered
    Description

    Average Annual Daily Traffic Map Statistics

  2. a

    NCDOT AADT Stations

    • hub-onslow.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Jan 14, 2021
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    Onslow County GIS (2021). NCDOT AADT Stations [Dataset]. https://hub-onslow.opendata.arcgis.com/maps/onslow::ncdot-aadt-stations
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    Dataset updated
    Jan 14, 2021
    Dataset authored and provided by
    Onslow County GIS
    Area covered
    Description

    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.

  3. c

    Traffic Counts

    • wsoic.cityofws.org
    • hub.arcgis.com
    Updated Oct 17, 2017
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    cows_admin (2017). Traffic Counts [Dataset]. https://wsoic.cityofws.org/datasets/af7ab9ab7989417693d2158ddd5197bc
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    Dataset updated
    Oct 17, 2017
    Dataset authored and provided by
    cows_admin
    Area covered
    Description

    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.

  4. a

    NCDOT Traffic Cameras

    • hub.arcgis.com
    Updated Sep 10, 2018
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    Eagle Labs (2018). NCDOT Traffic Cameras [Dataset]. https://hub.arcgis.com/datasets/eaglelabs::ncdot-traffic-cameras
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    Dataset updated
    Sep 10, 2018
    Dataset authored and provided by
    Eagle Labs
    Description

    This is a Dashboard created to provide Actionable Intelligence for Hurricane Florence as a voluntary app for the Esri DRP.Any questions email ed_cook@eagle.co.nz

  5. K

    North Carolina State Maintained Roads (Functional Class)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Feb 1, 2001
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    State of North Carolina (2001). North Carolina State Maintained Roads (Functional Class) [Dataset]. https://koordinates.com/layer/109281-north-carolina-state-maintained-roads-functional-class/
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    geopackage / sqlite, dwg, geodatabase, pdf, shapefile, mapinfo tab, csv, kml, mapinfo mifAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    State of North Carolina
    Area covered
    Description

    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)

  6. a

    NCDOT Annual Average Daily Traffic (AADT) Stations

    • hub-onslow.opendata.arcgis.com
    Updated Jan 14, 2021
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    Onslow County GIS (2021). NCDOT Annual Average Daily Traffic (AADT) Stations [Dataset]. https://hub-onslow.opendata.arcgis.com/datasets/ncdot-annual-average-daily-traffic-aadt-stations
    Explore at:
    Dataset updated
    Jan 14, 2021
    Dataset authored and provided by
    Onslow County GIS
    Area covered
    Description

    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.

  7. h

    hftesty

    • huggingface.co
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    John F. Davis, hftesty [Dataset]. https://huggingface.co/datasets/netskink/hftesty
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    John F. Davis
    Description

    Dataset Card for Dataset Name

    Collection of NC DOT Public Traffic Safety Cameras. Gathered to detect icy bridges for traffic safety. This dataset card based upon this raw template.

      Dataset Details
    
    
    
    
    
    
    
      Dataset Description
    

    North Carolina Traffic Safety Cameras. Gathered to detect icy bridges for traffic safety. Weather data from openweathermaps.

    Curated by: John F. Davis davisjf@gmail.com Funded by [optional]: John F. Davis Shared by [optional]:… See the full description on the dataset page: https://huggingface.co/datasets/netskink/hftesty.

  8. A

    Bicycle Crashes

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, geojson, json +1
    Updated Jul 25, 2019
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    United States (2019). Bicycle Crashes [Dataset]. https://data.amerigeoss.org/bg/dataset/bicycle-crashes
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    json, csv, geojson, shpAvailable download formats
    Dataset updated
    Jul 25, 2019
    Dataset provided by
    United States
    Description

    This data set maps the locations of crashes involving bicyclists in the Chapel Hill Region of North Carolina.

    The data comes from police-reported bicycle-motor vehicle and pedestrian-motor vehicle collisions that occurred on the public roadway network, public vehicular areas and private properties (if reported) from January 2007 through December 2013. Users are able to click and view information specific to each crash. Information for each crash includes: County, City, Crash Date, Crash Day, Crash Group, Crash Location, Crash Time, Crash Severity, Bike/Pedestrian Age Group, Bike/Pedestrian Alcohol Detected, Bike Direction, Bike/Pedestrian Injury, Bike/Pedestrian Position, Bike/Pedestrian Race, Bike/Pedestrian Sex, Ambulance Response, Driver Age Group, Driver Estimated Speed, Speed Limit, Driver Alcohol Detected, Driver Injury, Driver Race, Driver Sex, Driver Vehicle Type, Hit and Run, Development, Light Condition, Locality, Number of Lanes, Road Characteristics/Class/Condition/Configuration, Road Defects/Features, Traffic Control, Crash Type, and/or Weather. Crash identification numbers have been removed from the data for protection of privacy. Crash records were obtained NCDOT’s Traffic Engineering Accident Analysis System (TEAAS).

  9. w

    Pedestrian Crashes

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +1more
    csv, json, zip
    Updated Nov 20, 2017
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    Town of Chapel Hill, North Carolina (2017). Pedestrian Crashes [Dataset]. https://data.wu.ac.at/schema/data_gov/N2MwZmYxZWMtMWFhNS00NzFjLThjMjMtYThmOWMyYzI2YTAz
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    json, csv, zipAvailable download formats
    Dataset updated
    Nov 20, 2017
    Dataset provided by
    Town of Chapel Hill, North Carolina
    Description

    This data set maps the locations of crashes involving pedestrians in the Chapel Hill Region of North Carolina.

    The data comes from police-reported bicycle-motor vehicle and pedestrian-motor vehicle collisions that occurred on the public roadway network, public vehicular areas and private properties (if reported) from January 2007 through December 2013. Users are able to click and view information specific to each crash. Information for each crash includes: County, City, Crash Date, Crash Day, Crash Group, Crash Location, Crash Time, Crash Severity, Bike/Pedestrian Age Group, Bike/Pedestrian Alcohol Detected, Bike Direction, Bike/Pedestrian Injury, Bike/Pedestrian Position, Bike/Pedestrian Race, Bike/Pedestrian Sex, Ambulance Response, Driver Age Group, Driver Estimated Speed, Speed Limit, Driver Alcohol Detected, Driver Injury, Driver Race, Driver Sex, Driver Vehicle Type, Hit and Run, Development, Light Condition, Locality, Number of Lanes, Road Characteristics/Class/Condition/Configuration, Road Defects/Features, Traffic Control, Crash Type, and/or Weather. Crash identification numbers have been removed from the data for protection of privacy. Crash records were obtained NCDOT’s Traffic Engineering Accident Analysis System (TEAAS).

  10. North Carolina Live Traffic Information Dashboard (Waze & NCDOT)

    • hub.arcgis.com
    • dorian-disasterresponse.opendata.arcgis.com
    Updated Sep 19, 2018
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    Esri’s Disaster Response Program (2018). North Carolina Live Traffic Information Dashboard (Waze & NCDOT) [Dataset]. https://hub.arcgis.com/datasets/disasterresponse::north-carolina-live-traffic-information-dashboard-waze-ncdot
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    Dataset updated
    Sep 19, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    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.

  11. a

    NCDOT AADT Traffic Segments Primaries

    • hub.arcgis.com
    Updated Jan 14, 2021
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    Onslow County GIS (2021). NCDOT AADT Traffic Segments Primaries [Dataset]. https://hub.arcgis.com/maps/onslow::ncdot-aadt-traffic-segments-primaries
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    Dataset updated
    Jan 14, 2021
    Dataset authored and provided by
    Onslow County GIS
    Area covered
    Description

    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.

  12. a

    NC Bike Ped Crash Data

    • data-dchcmpo.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 29, 2016
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    Durham-Chapel Hill-Carrboro MPO (2016). NC Bike Ped Crash Data [Dataset]. https://data-dchcmpo.opendata.arcgis.com/datasets/mpo-bike-crash-2007-to-2014
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    Dataset updated
    Dec 29, 2016
    Dataset authored and provided by
    Durham-Chapel Hill-Carrboro MPO
    Area covered
    Description

    Bike and Pedestrian crash data for Chatham, Durham, and Orange County. The data collected is from January 2007 to December 2014 and was obtained from the NCDOT Traffic Engineering Accidental Analysis System (TEAAS).

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    Learn how you can add new datasets to our index.

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Onslow County GIS (2021). NCDOT Annual Average Daily Traffic (AADT) Traffic Segments [Dataset]. https://hub.arcgis.com/maps/29519882e9f74e6d959ee1c05e2d5364

NCDOT Annual Average Daily Traffic (AADT) Traffic Segments

Explore at:
Dataset updated
Jan 14, 2021
Dataset authored and provided by
Onslow County GIS
Area covered
Description

Average Annual Daily Traffic Map Statistics

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