This dataset is historical. For recent data, we recommend using https://chicagotraffictracker.com. -- Average Daily Traffic (ADT) counts are analogous to a census count of vehicles on city streets. These counts provide a close approximation to the actual number of vehicles passing through a given location on an average weekday. Since it is not possible to count every vehicle on every city street, sample counts are taken along larger streets to get an estimate of traffic on half-mile or one-mile street segments. ADT counts are used by city planners, transportation engineers, real-estate developers, marketers and many others for myriad planning and operational purposes. Data Owner: Transportation. Time Period: 2006. Frequency: A citywide count is taken approximately every 10 years. A limited number of traffic counts will be taken and added to the list periodically. Related Applications: Traffic Information Interactive Map (http://webapps.cityofchicago.org/traffic/).

Daily count of NYC residents who tested positive for SARS-CoV-2, who were hospitalized with COVID-19, and deaths among COVID-19 patients. Note that this dataset currently pulls from https://raw.githubusercontent.com/nychealth/coronavirus-data/master/trends/data-by-day.csv on a daily basis.

The Nebraska Department of Transporation (NDOT) collects traffic data including traffic flow, traffic counts, and truck traffic flow. The data is averaged out on a yearly basis, and is reported bi-annually, with the first year in the application being 2016. The application includes a filter widget that allows the user to filter the data based on the year that the traffic count was performed. The default filter is set for the most recent iteration of traffic count data, and if there is no filter applied, users can view data for all years by clicking on the features and reading the popup.The map used in this application is:Annual Average Daily Traffic Counts MapThis item is shared with the following groups:PublicDepartment of TransportationDOT AD 100 HigherDOT DevelopersOther associated items:App -Annual Average Daily Traffic FlowApp -Traffic Counter with Local Events and Construction ProjectsMap -Traffic Counter with Local Events and Construction ProjectsMap -AADTFlow_MapMap Image Layer -AADTFlow_DOT_NE

Average Daily Traffic (ADT) counts are analogous to a census count of vehicles on city streets. These counts provide a close approximation to the actual number of vehicles passing through a given location on an average weekday. Since it is not possible to count every vehicle on every city street, sample counts are taken along larger streets to get an estimate of traffic on half-mile or one-mile street segments. ADT counts are used by city planners, transportation engineers, real-estate developers, marketers and many others for myriad planning and operational purposes. Data Owner: Transportation. Time Period: 2006. Frequency: A citywide count is taken approximately every 10 years. A limited number of traffic counts will be taken and added to the list periodically. Related Applications: Traffic Information Interactive Map (http://webapps.cityofchicago.org/traffic/).

Annual average daily traffic is the total volume for the year divided by 365 days. The traffic count year is from October 1st through September 30th. Very few locations in California are actually counted continuously. Traffic Counting is generally performed by electronic counting instruments moved from location throughout the State in a program of continuous traffic count sampling. The resulting counts are adjusted to an estimate of annual average daily traffic by compensating for seasonal influence, weekly variation and other variables which may be present. Annual ADT is necessary for presenting a statewide picture of traffic flow, evaluating traffic trends, computing accident rates. planning and designing highways and other purposes.Traffic Census Program Page

HCAADT represents current (most recent) Heavy Commercial Annual Average Daily Traffic on sampled road systems. This information is displayed using the Traffic Count Locs Active feature class as of the annual HPMS freeze in January. Historical HCAADT is found in another table. Please note that updates to this dataset are on an annual basis, therefore the data may not match ground conditions or may not be available for new roadways. Resource Contact: John Hackett, Traffic Forecasting & Analysis (TFA), http://www.dot.state.mn.us/tda/contacts.html#TFA

Check other metadata records in this package for more information on Heavy Commercial Annual Average Daily Traffic Locations Information.


Link to ESRI Feature Service:

Heavy Commercial Annual Average Daily Traffic Locations in Minnesota: Heavy Commercial Annual Average Daily Traffic Locations

Annual Average Daily Traffic volumes (AADT) is a product of IDOT’s Traffic Count Program. Counts from this program range in duration from data continuously recorded at permanent count stations to thousands of coverage count locations that are counted for a 24-hour period throughout the year. More information about IDOT’s Traffic Count Program can be found at the Illinois Travel Statistics site.

Traffic sensors at over 1,200 locations in Allegheny County collect vehicle counts for the Pennsylvania Department of Transportation. Data included in the Health Department's DASH project includes hourly averages and average daily counts. The data was collected from years 2012-2014 and compiled by Carnegie Mellon University’s Traffic21 Institute.

Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

This 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.

This hosted feature layer has been published in RI State Plane Feet NAD 83.This data set was created for the Rhode Island Dept. of Transportation. This data set contains locations for the 24 hour average daily traffic counts on state maintained roads with information containing the station number, the segment of roadway the count was taken on, the city the count location is in and the actual 24 hour average counts for each location.This data set contains the annual 24 Hour Average Daily Traffic Count Locations on State maintained roads in Rhode Island for 2001.

AADT represents current (most recent) Annual Average Daily Traffic on sampled road systems. This information is displayed using the Traffic Count Locations Active feature class as of the annual HPMS freeze in January. Historical AADT is found in another table. Please note that updates to this dataset are on an annual basis, therefore the data may not match ground conditions or may not be available for new roadways. Resource Contact: Christy Prentice, Traffic Forecasting & Analysis (TFA), http://www.dot.state.mn.us/tda/contacts.html#TFA

Check other metadata records in this package for more information on Annual Average Daily Traffic Locations Information.


Link to ESRI Feature Service:

Annual Average Daily Traffic Locations in Minnesota: Annual Average Daily Traffic Locations

The coronavirus (COVID-19) pandemic has had an impact on people's mobility, including foot traffic. In the countries of Central Eastern Europe, a sharp decline in the amount of steps walked each day was noticed in the week of March 16. It was most significant in Romania, with a 24 percent decrease in the Fitbit step count of its inhabitants.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Blockchain data query: Bungee allchain daily counts

Traffic count data are provided as a public service by GBNRTC’s and member agencies. Traffic volumes are collected by manual and mechanical means and are hosted at an independent site. They represent typical volumes likely to be found at a location. Counts are reviewed for accuracy but are subject to inaccuracies inherent in the collection method and variability of traffic flows. Traffic data collected prior to and including 2012 were uploaded in bulk and may be subject to data transfer and processing errors.

Please be aware that errors may still exist even though reasonable efforts were made to identify and correct any errors. The data available is posted for informational purposes only. GBNRTC assumes no responsibility or any liability whatsoever, which may develop by users' review and use of this data. This data is periodically updated. Users are responsible to be aware of any updates and incorporate the updated data as may be appropriate for their work.

The City of Houston captures traffic activity and throughput through the use of traffic counts, which are turned into Average Daily Traffic (ADT) counts estimates to provide...

Blockchain data query: Loud Daily Counts on Farcaster

The Traffic Counts feature layer is a point model of traffic count locations and traffic volumes collected within the Pikes Peak Area Council of Governments (PPACG) region, and was primarily developed to help with regional planning and mapping projects related to these features.

This dataset summarises headline daily count data for the Automatic Cycle Counters across Cambridgeshire in June 2018. It offers headline the total number of counts for each day across the month. Weekly counts for each site across the whole of 2018 can be downloaded here. The reason for this single month release is due to the unreliability of the traffic counters over a course of a twelve month period. This data release will form part of a series of open data releases to extract as much insight as possible from the network. For full details of the physical location of these counters, please click here. Please note that due to the unreliability of the counters as a legacy system, it has not always been possible to extract a daily count for each day. Where it has not been able to extract a count, a blank (-) cell has been included. The data has been reviewed and some counts have been removed due to clear errors in the count, rather than the data given from the counters. This dataset only includes the total count over each site and not a breakdown by each channel, The next phase of the release will look to download more detail. For any specific queries, please contact research.group@cambridgeshire.gov.uk

Retirement Notice: This item is in mature support as of June 2023 and will be retired in December 2025. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item.This layer shows traffic counts in the United States in a multiscale map. Traffic counts are widely used for site selection by real estate firms and franchises. Traffic counts are also used by departments of transportation for highway funding. This map is best viewed at large scales where you can click on each point to access up to five different traffic counts over time. At medium to small scales, comparisons along major roads are possible. The Business Basemap has been added to provide context at medium and small scales. It shows the location of businesses in the United States and helps to understand where and why traffic counts are collected and used. The pop-up is configured to display the following information:The most recent traffic countThe street name where the count was collectedThey type of count that was taken. See the methodology document for definitions of count types such as AADT - Average Annual Daily Traffic. Traffic Counts seasonally adjusted to represent the average day of the year. AADT counts represent counts taken Sunday—Saturday.A graph displaying up to five traffic counts taken at the same location over time. Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.