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

TERMS OF USE 1. Restriction on the use of Material on this websiteUsage and/or downloading this data indicates Your acceptance of the terms and conditions below.The data here controlled and operated by the Corporation of the County of Lennox and Addington (referred to the “County” herein) and is protected by copyright. No part of the information herein may be sold, copied, distributed, or transmitted in any form without the prior written consent of the County. All rights reserved. Copyright 2018 by the Corporation of the County of Lennox and Addington.2. DisclaimerThe County makes no representation, warranty or guarantee as to the content, accuracy, currency or completeness of any of the information provided on this website. The County explicitly disclaims any representations, warranties and guarantees, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose.3. Limitation of LiabilityThe County is not responsible for any special, indirect, incidental or consequential damages that may arise from the use of or the inability to use, any web pages and/or the materials contained on the web page whether the materials are provided by the County or by a third party. Without limiting the generality of the foregoing, the County assumes no responsibility whatsoever for: any errors omissions, or inaccuracies in the information provided, regardless of how caused; or any decision made or action taken or not taken by the reader or other third party in reliance upon any information or data furnished on any web page.The Data is provided "as is" without warranty or any representation of accuracy, timeliness or completeness. The burden for determining accuracy, completeness, timeliness, merchantability and fitness for or the appropriateness for use rests solely on the requester. Lennox and Addington County makes no warranties, express or implied, as to the use of the Data. There are no implied warranties of merchantability or fitness for a particular purpose. The requester acknowledges and accepts the limitations of the Data, including the fact that the Data is dynamic and is in a constant state of maintenance, corrections and update.

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).

Feature layer containing authoritative traffic count points for the traffic model for Sioux Falls, South Dakota.

The data in the traffic counts model feature layer is collected for traffic count modeling and transportation planning. This data is collected on a five-to-seven-year basis, with data from 2001, 2008, 2013, 2018, and 2023. The traffic counts are 24-hour, weekday, two-directional counts. Traffic counts are normally collected during the summer months, but may be taken any season, as weather permits. The traffic counts are factored by the day of the week as well as by the month of the year to become an Average Annual Daily Total (AADT). Traffic volumes (i.e., count data) can fluctuate depending on the month, week, day of collection, the weather, type of road surface, nearby construction, etc. All the historical data should be averaged to reflect the "normal" traffic count. More specific count data (time, date, hourly volume) can be obtained from the Sioux Falls Engineering Division at 605-367-8601.

Monthly extracts of historic Traffic Data at Signalised derived by SCATS.

SCATS (Sydney Coordinated Adaptive Traffic System) is an intelligent transportation system that manages the dynamic timing of signal phases at traffic signals in real time. The system estimates the number of vehicles passing through the intersection and other information related to traffic signal timing. There is no guarantee this data is accurate or was used to make internal decisions in SCATS.

The data is provided by controller site. Each site has its own parquet file for the month, which contains SCATS data produced by that site. The files use the LM site number format (e.g. – Site 1 is LM00001).

Note that you are accessing the data provided by the links below pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes and may have errors.

Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- “The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability.”

A data dictionary is provided at the document link.

Monthly data extracts are in parquet format.

The locations of the traffic signals are found at the link below.

https://portal-mainroads.opendata.arcgis.com/datasets/traffic-signal-sitesAvailable in JSON format below.gisservices.mainroads.wa.gov.au/arcgis/rest/services/Connect/MapServer/0/query?where=1%3D1&outFields=*&returnGeometry=true&f=pjson

The mapping of the detectors to the strategic approaches at an intersection is given at the link below.

https://mainroadsopendata.mainroads.wa.gov.au/swagger/ui/index#/LmSaDetector

Further information, including SCATS graphics, is available via the Traffic Signal information on Main Roads TrafficMap

trafficmap - Main Roads WA

Annual average daily traffic is the total volume for the year divided by 365 days. The truck count year is from October 1st through September 30th. Very few locations in California are actually counted continuously. Truck 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.

A linear "event" mapped vector dataset representing the traffic count data for 2004. Mapped by route and mile point.

This dataset contains traffic incident information from the Austin-Travis County traffic reports collected from the various Public Safety agencies through a data feed from the Combined Transportation, Emergency, and Communications Center (CTECC). For further context, see: - Active Incidents: Map and Context - https://data.austintexas.gov/stories/s/Austin-Travis-County-Traffic-Report-Page/9qfg-4swh/ - Data Trends and Analysis - https://data.austintexas.gov/stories/s/48n7-m3me The dataset is updated every 5 minutes with the latest snapshot of active traffic incidents.

NOTE: The Historic Traffic Data Dashboard & Feature Hosted Service have been retired.Network operations traffic data from Main Roads Western Australia from 2013 onwards. The data provided includes data collected on the Perth Metropolitan State Road Network (PMSRN) at 15 minute intervals.

The Historic Traffic Data is provided in CSV format per year. Each table has over 34 million rows and can be linked to the M-Links Road Network using the M-Links ID. A data dictionary for M-Links Road Network and the Historic Traffic Data is at the following link:https://mainroads.sharepoint.com/:w:/s/mr-opendata/EVHlw9Ils59Al4q3y7xxWxABBSOHVr4SCrxOYzJw1dReQg?e=KUhjhb

The network operations traffic data provided here is of variable quality and has not been checked, quality assured or manually corrected. An automated process is used to patch over missing or suspect data with the most representative data available within the database. Patches may be reapplied as new data becomes available and patched data may change over time.

Note that you are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes.

Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- “The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability.”

TRAFFIC DATA - UPLOAD REQUIREMENTS FOR SPATIAL HUB This page summarises larger scale traffic surveys conducted on behalf of the City of Edinburgh Council since 2016. We encourage those with suitable data to upload it to this site. If any queries please contact George King (george.king@edinburgh.gov.uk) Once registered on the Spatial Hub, users can access the login pages via https://data.spatialhub.scot/user/login. Users can navigate to the appropriate ‘Traffic Count Data’ page for their local authority area where data can be accepted by a direct upload or registered API links via the SUBMIT DATA tab. Alternatively, traffic count data can be uploaded by GIS specialists in each of the local authorities. Please upload all ATC, JTC and ANPR data collected in the last 5 years. Access to ANPR data can be restricted and the data anonymised. Any data collected during the COVID-19 pandemic should be included as this can provide useful information on the effects of the lockdowns on traffic flow reduction. We recognise that existing data will come in a variety of formats and structures due to the lack of traffic data collection standards in the past. All data uploaded here should include: -  Data in a machine-readable format (e.g. csv, GML, shapefile, GeoJSON) so that it can be processed and used in analysis and visualisation software. Any data that is in Word or PDF format should be manipulated into a machine-readable format before upload.  Accurate locational information (Eastings/Northings or Lat/Long) or an Elementary Street Unit IDs (from the National Street Gazetteer) to enable the data to be joined to road networks in existing models.  Metadata including licence conditions and attribute descriptions to explain what data is contained in each column.  Clear data file naming to include location (e.g. street name), data type (ATC, JTC or ANPR) and date/time information, e.g., Lomond Road JTC 2023. If you have any data upload/API related queries, please contact: - spatialhub@improvementservice.org.uk). Traffic data uploaded to these pages is publicly available as part of the UK Open Government Licence (OGL)

Displays vehicle traffic volumes for arterial streets in Seattle based on spot studies that have been adjusted for seasonal variation. Data is a one time snapshot for 2019 and is maintained by Seattle Department of Transportation.Contact: Traffic OperationsRefresh Cycle: None, Snapshot for 2019 Only.

This data set features a hyperlink to the New York State Department of Transportation’s (NYSDOT) Traffic Data (TD) Viewer web page, which includes a link to the Traffic Data interactive map. The Traffic Data Viewer is a geospatially based Geographic Information System (GIS) application for displaying data contained in the roadway inventory database. The interactive map has five viewable data categories or ‘layers’. The five layers include: Average Daily Traffic (ADT); Continuous Counts; Short Counts; Bridges; and Grade Crossings throughout New York State.

Traffic Analysis Zones (TAZ) for the COG/TPB Modeled Region from Metropolitan Washington Council of Governments. The TAZ dataset is used to join several types of zone-based transportation modeling data. For more information, visit https://plandc.dc.gov/page/traffic-analysis-zone.

The dataset collection is an amalgamation of interconnected data tables sourced from 'Tilastokeskus' (the Statistical Bureau) in Finland. It includes comprehensive information from the year 2011 related to road traffic. The data within the collection is arranged in a tabular format, with each table comprising of rows and columns containing related data. This organized structure allows for easy access, analysis and interpretation of the data. The data source, the Statistical Bureau's web service interface (WFS), provides an authoritative and reliable basis for these traffic related datasets. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).

Update, Autumn 2024: We have now published an interactive dashboard which is designed to provide typical average daily flows by month or by site for the purposes of long-term trend monitoring. This approach to data provision will enable users to access data in a more timely fashion, as the dashboard refreshes on a daily basis. The data in this dashboard has also been cleaned to remove 'non-neutral' and erroneous days of data from average flow calculations. Please examine the front page of the dashboard for clarity on what this means. This dashboard is available at the following link: Cambridgeshire & Peterborough Insight – Roads, Transport and Active Travel – Traffic Flows – Traffic Flows Dashboard (cambridgeshireinsight.org.uk) The background: In spring and summer 2019, a series of smart traffic sensors were installed in Cambridge to monitor the impact of the Mill Road bridge closure. These sensors were installed for approximately 18 months in order to gather data before the closure, during the time when there was no vehicle traffic coming over Mill Road Bridge and then after the bridge re-opened. Due to the success of the sensors and the level of insight it is possible to gain, additional sensors have since been installed in more locations across the county. A traffic count sites map showing the locations of the permanent and annually monitored sites across the county, including the Vivacity sensor locations, is available on Cambridgeshire Insight. The data Data from the longer-term Vivacity sensors from 2019-2022 is available to download from the bottom of this page. The Vivacity sensor network grew considerably during 2022 and as a result, manual uploading of the data is no longer feasible. Consideration is currently being given to methods to streamline and/or automate Vivacity data sharing. The data below provides traffic counts at one-hour intervals, broken down into 8 vehicle categories. Data is provided (with caveats – see bottom of page) from the installation of the sensor up to 31/12/2022. The 8 vehicle categories are: 'Car', 'Pedestrian', 'Cyclist', 'Motorbike', 'Bus', 'OGV1', 'OGV2' and 'LGV'. The counts are broken down into inbound (In) and outbound (Out) journeys. Please see the 'Location List' below to establish which compass directions the 'In' and 'Out' are referring to for each sensor, as it differs by location. Some sensors record counts across multiple 'count-lines' which enables the sensor to provide more accurate counts at different points across the road, for example footways, cycle ways and the road. This is particularly useful for picking up pedestrians. Sensors with multiple count lines often present data for the road, the left-hand side footway (LHS) and the right-hand side footway (RHS) respectively. To determine the total flow, simply aggregate the centre, LHS and RHS count-lines. Please note that new countlines have been introduced over time for some sensors so care should be taken to make sure all necessary countlines are included when calculating a total flow. In some locations sensor hardware has been replaced and the sensor number has therefore changed (e.g. the Perne Road sensor was originaly named "16" but was subsequently replaced and renamed "44"). Please refer to the 'Location List' file which details the current and previous sensor numbers at each location.

A linear "event" mapped vector dataset representing the traffic count data for 2011. Mapped by route and mile point.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Please note that 2024 data are incomplete and will be updated as additional records become available. Data are complete through 12/31/2023. Fatal and serious injury crashes are not “accidents” and are preventable. The City of Tempe is committed to reducing the number of fatal and serious injury crashes to zero. This data page provides details about the performance measure related to High Severity Traffic Crashes, as well as access to the data sets and any supplemental data. The Engineering and Transportation Department uses this data to improve safety in Tempe.This data includes vehicle/vehicle, vehicle/bicycle, and vehicle/pedestrian crashes in Tempe. The data also includes the type of crash and location. This layer is used in the related Vision Zero story map, web maps, and operations dashboard. Time ZonesPlease note that data is stored in Arizona time, which is UTC-07:00 (7 hours behind UTC) and does not adjust for daylight saving (as Arizona does not partake in daylight saving). The data is intended to be viewed in Arizona time. Data downloaded as a CSV may appear in UTC time and, in some rare circumstances and locations, may display online in UTC or local time zones. As a reference to check data, the record with incident number 2579417 should appear as Jan. 10, 2012, 9:04 AM.Please note that 2024 data are incomplete and will be updated as additional records become available. Data are complete through 12/31/2023.This page provides data for the High Severity Traffic Crashes performance measure. The performance measure page is available at 1.08 High Severity Traffic CrashesAdditional InformationSource: Arizona Department of Transportation (ADOT)Contact (author): Shelly SeylerContact (author) E-Mail: Shelly_Seyler@tempe.govContact (maintainer): Julian DresangContact (maintainer) E-Mail: Julian_Dresang@tempe.govData Source Type: CSV files and Excel spreadsheets can be downloaded from the ADOT websitePreparation Method: Data is sorted to remove license plate numbers and other sensitive informationPublish Frequency: semi-annuallyPublish Method: ManualData Dictionary

This dataset contains anonymized layer 1-4 packet headers of two-way passive traces captured on a 100 GB link between Los Angeles and San Jose. These data are useful for research on the characteristics of Internet traffic, including application breakdown, security events, geographic and topological distribution, flow volume and duration.

The Traffic Resources web map is used to author the Transportation web experience at https://ebrgis.maps.arcgis.com/home/item.html?id=822fdc16e55e4410b5ee200a5a4a184c.Objective:The data displayed in this web map is intended to provide motorists in the Baton Rouge area with near real-time traffic data.Details:The traffic incidents are being handled by the Baton Rouge Police Department and the East Baton Rouge Sheriff's Office. The information is gathered from the 911 Computer Assisted Dispatch System, and it does not include data from Baker Police, Central Police, Zachary Police, Louisiana State Police, LSU, or Southern University. The map will refresh automatically every 60 seconds.Disclaimer:This page contains raw data and unconfirmed information about traffic incidents as they have been reported to the East Baton Rouge Parish 911 computer aided dispatch (CAD) system. The possibility exists that an incident may have been reported or classified incorrectly.The information on this site is intended only as a general guide to possible traffic related situations being investigated by the Baton Rouge Police Department, East Baton Rouge Sheriff's Office, Emergency Medical Services, or Baton Rouge Fire Department. Incidents located in East Baton Rouge Parish that are being investigated by other agencies, including Baker Police, Central Police, Zachary Police, Louisiana State Police, or campus police at LSU and Southern University incidents are not reflected in this map. Because this information is derived from the 911 CAD system, the incident will remain on the page until the responding officer has been taken off the call. This may occur after the actual incident has been cleared from the roadway. Also, traffic incident points should be considered approximate, not exact locations.The City-Parish Department of Transportation and Drainage maintains the local road closure data which is displayed in this web map. More information about local road closures can be found on the EBR Road Closures webpage. This map displays data from the Louisiana Department of Transportation and Development. Included are the traffic camera locations and LA-DOTD road closures. These datasets are provided as a convenience for users. The City-Parish is not responsible for the information provided by LA-DOTD or its affiliates.The live and predictive traffic data comes directly from HERE. HERE collects data per month, and where available, users sensors to augment the collected data. An algorithm compiles the data and computes accurate speeds. The imagery is not live. Imagery is provided as a service from Esri, Inc. and image tiles are not updated each time the map is displayed.This site uses web mapping software from Esri, Inc. which has been purchased by the Baton Rouge City-Parish Government.Users are encouraged to submit their questions and comments related to the EBRGIS Program by sending an email to gis@brla.gov or contacting the Department of Information Services at (225) 389-3070.