This data shows traffic volumes for freeways (excluding toll roads) and arterial roads in Victoria. The annual average daily traffic volume is provided, including the number of commercial vehicles. The data provided is for the current year, with values derived from traffic surveys or estimates.
About this dataset

A collection of layers maintained by the Traffic Monitoring Unit.

Traffic Count Viewer is an online mapping application, which users can use to explore traffic count reports in different locations within the Delaware Valley, including Philadelphia. Users search by _location (address, city, zip code, or place name) to view point features on the interactive mapping visualization of traffic records. Clicking on a point of interest or grouping multiple points on the map yields traffic count information tables, which includes: Date of Counnt ; DVRPC File # ; Type ; Annual Average Daily Traffic (AADT) ; Municipality ; Route Number ; Road Name ; Count Direction ; and From/To Locations, as well as a link to the detailed (hourly) report. Data tables are exportable as .CSV and detailed reports are available for export in multiple formats (including basic .doc and .rtf outputs.) Traffic count data is collected by the Delaware Valley Regional Planning Commission and other agencies.

RMS has permanent and temporary roadside collection devices which continuously collect traffic information data. Through the Traffic Volume Counts API, traffic count data from 2006 is available. There are four datasets (tables) that can be queried: Traffic Collection Station Reference- This table provides a general description of the traffic collection station e.g. Geospatial coordinates, road name, suburb, postcode, device type, road number, road type including the data quality rating. Annual Average Traffic Count Summary - This table provides the general description of traffic station, traffic direction, date of recording and the quality of data. Permanent Hourly Traffic Counts- This table provides hourly traffic count for each permanent station post 2006 at a daily level. Sample Hourly Traffic Counts - This table provides hourly traffic count for each sample station post 2006 at a daily level. The Traffic Volume Viewer map provides average road traffic volumes for a selection of permanent and sample roadside collection device stations at key locations across NSW. Please visit https://www.rms.nsw.gov.au/about/corporate-publications/statistics/traff...

This dataset contains the Department of Transport and Main Roads road location details (both spatial and through distance) as well as associated traffic data.

It allows users to locate themselves with respect to road section number and through distance using the spatial coordinates on the state-controlled road network.

Through distance – the distance in kilometres measured from the gazetted start point of the road section.

Note: "Road location and traffic data" resource has been updated as of July 2023.

2018 road traffic data of managers who have signed the agreement to make their data available in Open Data: — annual average road traffic data (ATMJ) all vehicles, — heavy weight traffic data in TMJA and/or TMJO (Medium-day traffic) when this is accounted for by the manager. The heavy-duty traffic columns may be titled “NAPL” or “TMJA_PL” for average annual traffic, and “NOPL” or “TMJO_PL” for working days traffic. TMJA is the Annual Average Daily Traffic which represents the daily average flow rate of all vehicles, all senses, calculated over the year. The nomenclature for the type of counting is as follows: P: permanent counting T: temporary counting A: exceptional counting to meet requests from other services or municipalities in particular for speed studies Name of the GIS layer: Counting_TMJA_2018_P_R44

Provides a way to easily view the camera snapshots that are archived for all cameras every 5 minutes. Direct links to the images are also available here.Dashboard also available here

Data that that populates the Vision Zero View map, which can be found at www.nycvzv.info Vision Zero is the City's goal for ending traffic deaths and injuries. The Vision Zero action plan can be found at http://www.nyc.gov/html/visionzero/pdf/nyc-vision-zero-action-plan.pdf Crash data is obtained from the Traffic Accident Management System (TAMS), which is maintained by the New York City Police Department (NYPD). Only crashes with valid geographic information are mapped. All midblock crashes are mapped to the nearest intersection. Injuries and fatalities are grouped by intersection and summarized by month and year. This data is queried and aggregated on a monthly basis and is current as of the query date. Current year data is January to the end of the latest full month. All mappable crash data is represented on the simplified NYC street model. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point. Injury and fatality crashes occurring on highways are excluded from this data. Please note that this data is preliminary and may contain errors, accordingly, the data on this site is for informational purposes only. Although all attempts to provide the most accurate information are made, errors may be present and any person who relies upon this data does so at their own risk.

Attention 2020 data are to be taken with caution due to the health crisis

2020 road traffic data of managers who have signed the agreement to make their data available in Open Data: — annual average road traffic data (ATMJ) all vehicles, — heavy weight traffic data in TMJA and/or TMJO (Medium-day traffic) when this is accounted for by the manager.

The heavy-duty traffic columns may be titled “NAPL” or “TMJA_PL” for average annual traffic, and “NOPL” or “TMJO_PL” for working days traffic.

TMJA is the Annual Average Daily Traffic which represents the daily average flow rate of all vehicles, all senses, calculated over the year.

The nomenclature for the type of counting is as follows: P: permanent counting T: temporary counting A: exceptional counting to meet requests from other services or municipalities in particular for speed studies

Name of the GIS layer: Counting_TMJA_2020_P_R44

Each year, NRPC conducts well over 100 traffic counts at locations throughout the region. These data are used both by NRPC and New Hampshire DOT to generate reports that assist in decision making by local and state officials. NRPC also uses count data to calibrate and validate its traffic modeling program. The NRPC Traffic Count viewer is an ArcGIS Online app with the following functionality: Data is available from 2010-presentSite locations are symbolized by relative volumeSite ID is displayed and is searchable using the search boxAM and PM volumes are availableDates of the count are displayedCounts over time are shown in the chart Links to initial field reports are providedPlease note: most volumes represent 24-hour raw data averages for the 5-weekday period (Mon-Fri); these are raw counts, i.e. they are not adjusted for for truck traffic, seasonal variation, or other factors. Historical count data from 1991-2009 is on file at NRPC and available by request.

In the ACT, we have bluetooth detectors placed in certain roads to monitor traffic flow that provides network-wide performance indicators in real time. Details about congestion & travel time can be accessed via APIs provided in this dataset

Queensland average daily traffic volume data for state-controlled roads broken down by hour of day and day of week as an average volume for the year prescribed.

1. Overview This dataset is a collection of high view traffic images in multiple scenes, backgrounds and lighting conditions that are ready to use for optimizing the accuracy of computer vision models. All of the contents is sourced from PIXTA's stock library of 100M+ Asian-featured images and videos. PIXTA is the largest platform of visual materials in the Asia Pacific region offering fully-managed services, high quality contents and data, and powerful tools for businesses & organisations to enable their creative and machine learning projects.

2. Use case This dataset is used for AI solutions training & testing in various cases: Traffic monitoring, Traffic camera system, Vehicle flow estimation,... Each data set is supported by both AI and human review process to ensure labelling consistency and accuracy. Contact us for more custom datasets.

3. About PIXTA PIXTASTOCK is the largest Asian-featured stock platform providing data, contents, tools and services since 2005. PIXTA experiences 15 years of integrating advanced AI technology in managing, curating, processing over 100M visual materials and serving global leading brands for their creative and data demands. Visit us at https://www.pixta.ai/ for more details.

This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

Annual Average Daily Traffic (AADT) is an estimate of the average daily traffic along a defined segment of roadway. This value is calculated from short term counts taken along the same section which are then factored to produce the estimate of AADT. Because of this process, the most recent AADT for any given roadway will always be for the previous year. Data is available for all New York State Routes and roads that are part of the Federal Aid System.

Traffic count and classification data collected by Metro in the years 2015, 2017, 2019, 2022, and 2024 and aggregated into a geodatabase. The collection is comprised of a point feature class representing the station location of the counts, a line feature class representing cutlines (either artificial or physical barrier lines that represent major traffic flows along a selected axis), and 2 tables representing traffic counts and vehicle classifications at each station location. Counts are captured in 15 minute increments for a period of 24 hours. Date of last data update: 2025-01-29 This is official RLIS data. Contact Person: Alicia Wood alicia.wood@oregonmetro.gov 503-813-7561 RLIS Metadata Viewer: https://gis.oregonmetro.gov/rlis-metadata/#/details/3812 RLIS Terms of Use: https://rlisdiscovery.oregonmetro.gov/pages/terms-of-use

Esri ArcGIS Online (AGOL) Hosted Feature Layer for accessing the MDOT SHA Annual Average Daily Traffic (AADT) data product.MDOT SHA Annual Average Daily Traffic (AADT) data consists of linear & point geometric features which represent the geographic locations & segments of roadway throughout the State of Maryland that include traffic volume information. Traffic volume information is produced from traffic counts used to calculate annual average daily traffic (AADT), annual average weekday traffic (AAWDT), AADT based on vehicle class (current year only) for roadways throughout the State. Ten (10) years of historic AADT & AAWDT traffic volume metrics are also available for each geographic location or segment of roadway throughout the State, where applicable.Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 ATRs, located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 91 permanent, continuous automatic traffic recorders (ATRs) and short-term traffic counts. Program count data is collected in both directions (inventory & non-inventory) at regular locations on either a three (3) year or six (6) year cycle depending on the type of roadway. Growth factors are applied to counts which were not taken during the current year and the counts are factored based on the past yearly growth of an associated ATR. Counters are placed for 48 hours on a Monday or Tuesday and are picked up that Thursday or Friday, respectively. The ATR and toll count data is collected on a continuous basis. Toll station data is provided by the Maryland Transportation Authority (MDTA). A special numeric code was added to the AADT numbers, starting in 2006, to identify the years when the count was actually taken. The last digit represents the number of years prior to the actual count. Where “0” represents the current year when data was collected (in 2020), “1” represents the count taken in 2019, “2” represents the count taken in 2018, “3” represents the count taken in 2017 and so forth.Annual Average Daily Traffic (AADT) data is a strategic resource for the Federal Highway Administration (FHWA), the Maryland Department of Transportation (MDOT), the Maryland Department of Transportation State Highway Administration (MDOT SHA), as well as many other Federal, State & local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development & implementation of State highway improvement & safety programs. The MDOT SHA Traffic Monitoring System (TMS) is a product of the ISTEA Act of 1991, which required a traffic data program to effectively & efficiently meet MDOT SHA’s long-term traffic data monitoring & reporting requirements.Annual Average Daily Traffic (AADT) data is updated & published on an annual basis for the prior year. This data is for the year 2023.View the most current AADT data in the MDOT SHA Annual Average Daily Traffic (AADT) LocatorFor more AADT data information, contact MDOT SHA OPPE Traffic Monitoring System (TMS) Unit:Email: TMS@mdot.maryland.govFor more general information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

This dataset contains historic Route Definitions and Statistics with Geometry of traffic flow. The detailed documentation is included at https://www.data.act.gov.au/dataset/realtime-traffic/cjkg-rvmu. Disclaimer : Even though the real-time API updates the info every 30 seconds, we only sample at every 5 minutes for historical archiving

Vehicle traffic volumes for arterial streets in Seattle based on spot studies that have been adjusted for seasonal variation. To provide a high level view of traffic volumes on major streets in Seattle, and compare changes from year to year. The AAWDT count is a seasonally adjusted average weekday daily total of vehicle traffic for all lanes, i.e. total vehicles in both directions for one average 24-hour business day, Monday through Friday. Only selected arterial streets are included.

I-95 Corridor Coalition Traffic View