This dataset contains hourly pedestrian counts since 2009 from pedestrian sensor devices located across the city. The data is updated on a monthly basis and can be used to determine variations in pedestrian activity throughout the day.The sensor_id column can be used to merge the data with the Pedestrian Counting System - Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting pedestrian counts over time.Importants notes about this dataset:• Where no pedestrians have passed underneath a sensor during an hour, a count of zero will be shown for the sensor for that hour.• Directional readings are not included, though we hope to make this available later in the year. Directional readings are provided in the Pedestrian Counting System – Past Hour (counts per minute) dataset.The Pedestrian Counting System helps to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.Related datasets:Pedestrian Counting System – Past Hour (counts per minute)Pedestrian Counting System - Sensor Locations

The annual bike and pedestrian count is a volunteer data collection effort each fall that helps the City understand where and how many people are biking and walking in Somerville, and how those numbers are changing over time. This program has been taking place each year since 2010. Counts are collected Tuesday, Wednesday, or Thursday for one hour in the morning and evening using a “screen line” method, whereby cyclists and pedestrians are counted as they pass by an imaginary line across the street and sidewalks. Morning count sessions begin between 7:15 and 7:45 am, and evening count sessions begin between 4:45 and 5:15 pm. Bike counts capture the number of people riding bicycles, so an adult and child riding on the same bike would be counted as two counts even though it is only one bike. Pedestrian counts capture people walking or jogging, people using a wheelchair or assistive device, children in strollers, and people using other micro-mobility devices, such as skateboards, scooters, or roller skates. While the City and its amazing volunteers do their best to collect accurate and complete data each year and the City does quality control to catch clear errors, it is not possible to ensure 100% accuracy of the data and not all locations have been counted every year of the program. There are also several external factors impacting counts that are not consistent year-to-year, such as nearby construction and weather. For these reasons, the counts are intended to be used to observe high-level trends across the city and at count locations, and not to extrapolate that biking and walking in Somerville has changed by a specific percentage or number. Data in this dataset are available at the location count level. To request data at the movement level, please contact transportation@somervillema.gov.

This dataset contains status, location and directional information for each pedestrian sensor device installed throughout the city. The sensor_id column can be used to merge the data with related datasets. Since the inauguration of the Pedestrian Counting System in 2009, some sensor devices have been removed or relocated. This may be for various reasons such as construction works. Others may be inactive due to a temporary issue. This is detailed in the notes column. Any changes to sensor locations are important to consider when analysing and interpreting historical pedestrian counting data. Sensors are typically installed under an awning or on a street pole to form a counting zone on the footpath below. They record bi-directional pedestrian movements through the zone, 24 hours, every day. Locations are selected based on three criteria – retail and event activity, regular pedestrian use and the egress and entry flow to these areas. The system records movements, not images, so no individual information is collected. New sensor devices have been recently installed, with more to come in the near future as part of the city’s commitment to expanding the system. Status field: This field indicates if the sensor is expected to be active and is manually maintained as needed. A pedestrian sensor with an active value ('A') may be unavailable in some situations. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.Related datasets: Pedestrian Counting System – 2009 to Present (counts per hour)Pedestrian Counting System – Past Hour (counts per minute)

An index of pedestrian volumes tracking the long-term trends of neighborhood commercial corridors. Data is collected at 114 locations, including 100 on-street locations (primarily retail corridors), 13 East River and Harlem River bridge locations, and the Hudson River Greenway. Screenline sampling is conducted during May and September on the sidewalk, mid-block (or mid-bridge) on both sides of street where applicable. Pedestrian volumes at 50 sample locations around the City are combined to create the Pedestrian Volume Index for the Mayor’s Management Report. Click here for metadata - http://www.nyc.gov/html/dot/downloads/pdf/bi-annual-ped-count-readme.pdf

DVRPC counts bicyclists and pedestrians because count data helps us understand and plan for the role bicyclists and pedestrians play in our transportation network. Similar to how planners use vehicular traffic counts to analyze roadway facilities, our bicycle and pedestrian counting program allows planners to measure existing levels of bicycling and walking, monitor travel trends, plan for new or improved facilities and measure outcomes of bicycle and pedestrian related projects. Our counting program consists of four types of counts: Project Counts, Cyclical Counts, Screenline Counts and Permanent Counts.

DOT is testing automated technology to count pedestrians. The counter is located on the Manhattan approach of the Brooklyn Bridge.

Current issue 23/09/2020
Please note: Sensors 67, 68 and 69 are showing duplicate records. We are currently working on a fix to resolve this.

This dataset contains minute by minute directional pedestrian counts for the last hour from pedestrian sensor devices located across the city. The data is updated every 15 minutes and can be used to determine variations in pedestrian activity throughout the day.

The sensor_id column can be used to merge the data with the Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting historical pedestrian counting data.

Note this dataset may not contain a reading for every sensor for every minute as sensor devices only create a record when one or more pedestrians have passed underneath the sensor.

The Pedestrian Counting System helps us to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.

Related datasets:
Pedestrian Counting System – 2009 to Present (counts per hour).
Pedestrian Counting System - Sensor Locations

This data set gives hourly pedestrian counts for six locations on upper State Street for the period between August 12, 2018, and August 31, 2020, as reported by the Traffic Engineering department’s pedestrian counters.

For responsive design see our Automated Pedestrian Counts Dashboard. Our automated pedestrian counter trial has now come to an end. Please check back in the future for further updates. Automated counters were placed in busy areas of the CBD to assess performance. Data collection began in February 2020 and ended in June 2025, giving us a picture of impacts to pedestrian activity due to Covid-19 and the recovery. For more extensive data across the local area, please visit our Twice Yearly Walking Counts Dashboard. Data sets can be downloaded from City of Sydney Data hub. * Counter location A004 (Park Street) was counting approximately half of pedestrian activity from 03-July 2022 to 11 Nov 2022. Please use this data at your own discretion.

This dataset contains hourly pedestrian counts captured from 66 sensors in Melbourne city starting from May 2009.

The original dataset is regularly updated when a new set of observations become available. The dataset uploaded here contains pedestrian counts up to 2020-04-30.

Pedestrian count at counters in Hamilton City. To get data for this dataset, please call the API directly talking to the HCC Data Warehouse: https://api.hcc.govt.nz/OpenData/get_Pedestrian_count?Page=1&Start_Date=2020-10-01&End_Date=2020-10-02. For this API, there are three mandatory parameters: Page, Start_Date, End_Date. Sample values for these parameters are in the link above. When calling the API for the first time, please always start with Page 1. Then from the returned JSON, you can see more information such as the total page count and page size. For help on using the API in your preferred data analysis software, please contact dale.townsend@hcc.govt.nz. NOTE: Anomalies and missing data may be present in the dataset.

Column_InfoCounter_Id, int : Unique identifier of the counterCount_Datetime, varchar : Start of the time interval that the count was recorded forCount_Number, int : Volume of pedestrians recorded for the given time interval

Relationship

This table reference to table Pedestrian_Counter_Information

Analytics

For convenience Hamilton City Council has also built a Quick Analytics Dashboard over this dataset that you can access here.

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.'

Pedestrian Count

## Overview

Pedestrian Count is a dataset for object detection tasks - it contains Count annotations for 937 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Displays the Hourly pedestrian count automatically recorded by IoT sensors since 12th Aug 2021, which are installed at few locations in City of Casey.

🇺🇸 미국

Daily bicycle and pedestrian counts are available from sensors set up on the Peace Bridge, cycle tracks and Stephen Avenue. Using an Eco-Counter machine, cyclists are detected using loops embedded in the pavement. The data provides a breakdown of the number of cyclists on a daily, weekly, monthly and yearly basis.

Counts of vehicles, cyclists and pedestrians at the majority of intersections equipped with traffic lights, as well as some intersections where the installation of lights was under consideration. For each of these intersections, all located in the 19 boroughs, the number of vehicles and pedestrians was recorded at different times of a typical day. Counts may sometimes not take into account certain users (pedestrians, cyclists, trucks for example). NOTE: since 2009, the surveys also include the passage of cyclists. The counts were carried out as part of the harmonization of fires. These are therefore counts from the central services and they do not include the counts made by the boroughs.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Results of the City's bicycle and pedestrian counts from 2010-2016

DVRPC collects traffic volume, bicycle, and pedestrian counts at over 5,000 locations each year. The data is collected by the pneumatic tubes you see laying across the road. DVRPC also obtains traffic data collected by other entities and includes that data in its database as a public service. Traffic data is used by transportation engineers and planners, developers, market analysts, and may be of interest to the general public. This file is updated nightly.

Use RECORDNUM in the location feature and DVRPCNUM in the hourly table to join the two.

description: Statistics on the pedestrian count at various Times Square locations; abstract: Statistics on the pedestrian count at various Times Square locations

Location and counts for number of pedestrians and bicyclists to pass by a specific spot in a given hour over a 24 hour period, from the Colorado Department of Transportation (CDOT).