Daily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly
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Attributes of sites in Hamilton City which collect anonymised data from a sample of vehicles. Note: A Link is the section of the road between two sites
Column_InfoSite_Id, int : Unique identiferNumber, int : Asset number. Note: If the site is at a signalised intersection, Number will match 'Site_Number' in the table 'Traffic Signal Site Location'Is_Enabled, varchar : Site is currently enabledDisabled_Date, datetime : If currently disabled, the date at which the site was disabledSite_Name, varchar : Description of the site locationLatitude, numeric : North-south geographic coordinatesLongitude, numeric : East-west geographic coordinates
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Disclaimer
Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.
Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.
While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:
‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'
Retail platforms have undergone an unprecedented global traffic increase between January 2019 and June 2020, surpassing even holiday season traffic peaks. Overall, retail websites generated almost ** billion visits in June 2020, up from ***** billion global visits in January 2020. This is of course due to the global coronavirus pandemic which has forced millions of people to stay at home in order to stop the spread of the virus. Due to many shelter at home orders and a desire to avoid crowded stores in places where it is possible to shop, consumers have turned to the internet to procure everyday items such as groceries or toilet paper.
Unique visitors, total sessions, and bounce rate for lacity.org, the main website for the City of Los Angeles.
In April 2025, hindustantimes.com was the fastest growing news site worldwide, with a YOY traffic increase of 89 percent. Indiatimes.com and india.com also saw substantial visitor growth, with a year-over-year increase of 86 percent and 58 perecnt respectively.
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During the third quarter of 2024, the share of online visits to skincare e-commerce sites from social media referrals was lowest for computers, at around *** percent. The share of social traffic was highest for tablets, at around ** percent.
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SDCC Traffic Data Collection Site Names. A detailed description of each column heading can be referenced below;scn: Site Serial numberregion: A group of Nodes that are operated under SCOOT control at the same common cycle time. Normally these will be nodes between which co-ordination is desirable. Some of the nodes may be double cycling at half of the region cycle time.system: SCOOT STC UTC (UTC-MX)locn: Locations
Among some of the world's leading consumer electronics retailers, samsung.com recorded the largest number of monthly visitors to its website, with approximately 1.1 billion visits in April 2024. This figure eclipsed that of long-time rival apple.com, whose overall website traffic was about 433 million visits that month.
Information included:
Traffic monitoring for state highways: user manual [PDF 465 KB]
Data reuse caveats: as per license.
Data quality statement: please read the accompanying user manual, explaining:
Traffic monitoring for state highways: user manual [PDF 465 KB]
Data quality caveats: it isn’t possible to accurately capture all vehicles using dual loops. An error margin of 2% - 5% is normal. Sites with congestion or lane changing can have higher error margins.
AADT (average annual daily traffic) accuracy depends on sampling frequency.
Classification isn’t possible at single loop sites, and not all counts at dual loop sites are classified counts. The daily counts at non-continuous sites are adjusted using values from continuous sites.
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Locations of junctions and pedestrian crossings with traffic lights and SCATS sites’ detectors within the Dublin City Council administrative area. SCATS – SCATS (Sydney Coordinated Adaptive Traffic System) is an adaptive urban traffic management system that synchronises traffic signals to optimise traffic flow across a whole city, region or corridor. Attributes: • SiteID : Site (signal and SCATS Site) identifier • Site_Description_Cap : Site description in capital letters • Site_Description_Lower: site description in lower case letters • Region: refers to SCATS regional servers • Lat: Geographic location (Latitude) • Long : Geographic location (Longitude) • Site_Type : Site type; it has two values: SCATS or Signal Site - SCATS means that both SCATS detectors and traffic signals (traffic lights) are present. - Signal Site value means that only traffic signals are present.
Traffic signals and SCATS sites locations DLR. Published by Dún Laoghaire-Rathdown County Council. Available under the license cc-by (CC-BY-4.0).Locations of junctions and pedestrian crossings with traffic lights and SCATS sites’ detectors within the Dun Laoghaire Rathdown administrative area.
SCATS – SCATS (Sydney Coordinated Adaptive Traffic System) is an adaptive urban traffic management system that synchronises traffic signals to optimise traffic flow across a whole city, region or corridor....
A dataset to show the 2018 traffic count from 62 recorders located around Bradford. Not all locations have 100% of the data for 2018. The % of the data is identified in the dataset.
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License information was derived automatically
SDCC Traffic Congestion Saturation Flow Data for January to June 2023. Traffic volumes, traffic saturation, and congestion data for sites across South Dublin County. Used by traffic management to control stage timings on junctions. It is recommended that this dataset is read in conjunction with the ‘Traffic Data Site Names SDCC’ dataset.A detailed description of each column heading can be referenced below;scn: Site Serial numberregion: A group of Nodes that are operated under SCOOT control at the same common cycle time. Normally these will be nodes between which co-ordination is desirable. Some of the nodes may be double cycling at half of the region cycle time.system: SCOOT STC UTC (UTC-MX)locn: Locationssite: Site numbersday: Days of the week Monday to Sunday. Abbreviations; MO,TU,WE,TH,FR,SA,SU.date: Reflects correct actual Date of when data was collected.start_time: NOTE - Please ignore the date displayed in this column. The actual data collection date is correctly displayed in the 'date' column. The date displayed here is the date of when report was run and extracted from the system, but correctly reflects start time of 15 minute intervals. end_time: End time of 15 minute intervals.flow: A representation of demand (flow) for each link built up over several minutes by the SCOOT model. SCOOT has two profiles:(1) Short – Raw data representing the actual values over the previous few minutes(2) Long – A smoothed average of values over a longer periodSCOOT will choose to use the appropriate profile depending on a number of factors.flow_pc: Same as above ref PC SCOOTcong: Congestion is directly measured from the detector. If the detector is placed beyond the normal end of queue in the street it is rarely covered by stationary traffic, except of course when congestion occurs. If any detector shows standing traffic for the whole of an interval this is recorded. The number of intervals of congestion in any cycle is also recorded.The percentage congestion is calculated from:No of congested intervals x 4 x 100 cycle time in seconds.This percentage of congestion is available to view and more importantly for the optimisers to take into account.cong_pc: Same as above ref PC SCOOTdsat: The ratio of the demand flow to the maximum possible discharge flow, i.e. it is the ratio of the demand to the discharge rate (Saturation Occupancy) multiplied by the duration of the effective green time. The Split optimiser will try to minimise the maximum degree of saturation on links approaching the node.
The FDOT Portable Traffic Monitoring Site (PTMS) feature class provides information on Florida Portable Traffic Monitoring Site locations, as well affiliated information like KFCTR and TFCTR from the FDOT Traffic Characteristics Inventory database. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 06/21/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/ptms.zip
Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically
Construction site coordination in Hamburg The preservation of the infrastructure is of fundamental importance for the development of Hamburg. Therefore, construction sites in the street space are part of the normal picture - to the chagrin of local residents and road users. In many cases, however, it is not work on the road itself that leads to disabilities, but the many supply and disposal lines in the road body or the construction projects of private individuals. Approximately 25,000 jobs per year on Hamburg's road network, of which over 3,700 are on major roads, therefore require careful coordination to minimise obstacles to traffic flow. This is the task of the Traffic Optimization Department at the Department of Transport and Mobility Transition. Here, the incoming information of all road construction departments, pipeline companies and private builders is collected and evaluated. The information for the most important construction sites is published with a 7-day preview on the Internet at www.hamburg.de/baustellen. When coordinating construction sites, the aim is to prevent simultaneous construction sites, e.g. on important parallel roads, so that traffic has trouble-free alternative routes. However, no matter how good coordination can absolutely prevent congestion. The Hamburg road network is partly busy and partly overloaded in the morning and evening rush hour. Therefore, we recommend every road user to inform himself about the current traffic situation before starting the journey and only then to choose a suitable means of transport including route.
If you have any questions about construction sites in Hamburg, please contact the construction site hotline on 040 428 28 2020 or by post to
Free and Hanseatic City of Hamburg Transport and Mobility Transition Authority Old stone path 4 20459 Hamburg
Open Data Portal Asset Traffic is a story page (perspectives page) showing traffic statistics for datasets on the Maryland Open Data Portal.
Traffic Volumes from SCATS Traffic Management System Jan-Jun 2025 DCC. Published by Dublin City Council. Available under the license cc-by (CC-BY-4.0).Traffic volumes data across Dublin City from the SCATS traffic management system. The Sydney Coordinated Adaptive Traffic System (SCATS) is an intelligent transportation system used to manage timing of signal phases at traffic signals. SCATS uses sensors at each traffic signal to detect vehicle presence in each lane and pedestrians waiting to cross at the local site. The vehicle sensors are generally inductive loops installed within the road.
3 resources are provided:
SCATS Traffic Volumes Data (Monthly) Contained in this report are traffic counts taken from the SCATS traffic detectors located at junctions. The primary function for these traffic detectors is for traffic signal control. Such devices can also count general traffic volumes at defined locations on approach to a junction. These devices are set at specific locations on approaches to the junction but may not be on all approaches to a junction. As there are multiple junctions on any one route, it could be expected that a vehicle would be counted multiple times as it progress along the route. Thus the traffic volume counts here are best used to represent trends in vehicle movement by selecting a specific junction on the route which best represents the overall traffic flows.
Information provided:
End Time: time that one hour count period finishes.
Region: location of the detector site (e.g. North City, West City, etc).
Site: this can be matched with the SCATS Sites file to show location
Detector: the detectors/ sensors at each site are numbered
Sum volume: total traffic volumes in preceding hour
Avg volume: average traffic volumes per 5 minute interval in preceding hour
All Dates Traffic Volumes Data
This file contains daily totals of traffic flow at each site location.
SCATS Site Location Data Contained in this report, the location data for the SCATS sites is provided. The meta data provided includes the following;
Site id – This is a unique identifier for each junction on SCATS
Site description( CAP) – Descriptive location of the junction containing street name(s) intersecting streets
Site description (lower) - – Descriptive location of the junction containing street name(s) intersecting streets
Region – The area of the city, adjoining local authority, region that the site is located
LAT/LONG – Coordinates
Disclaimer: the location files are regularly updated to represent the locations of SCATS sites under the control of Dublin City Council. However site accuracy is not absolute. Information for LAT/LONG and region may not be available for all sites contained. It is at the discretion of the user to link the files for analysis and to create further data. Furthermore, detector communication issues or faulty detectors could also result in an inaccurate result for a given period, so values should not be taken as absolute but can be used to indicate trends....
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SiteID : Site (signal and SCATS Site) identifier Site_Description_Cap : Site description in capital letters Site_Description_Lower: site description in lower case letters Region: refers to SCATS regional servers Lat: Geographic location (Latitude) Long : Geographic location (Longitude) Site_Type : Site type; it has two values: SCATS or Signal Site SCATS means that both SCATS detectors and traffic signals (traffic lights) are present.
Daily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly