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 location and types of IoT sensors in the City of Casey, including pedestrian movement sensors across various sites in Casey.

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

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 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)

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.

사고위험 높은 골목길 3곳에 설치된 IoT센서 데이터입니다. 실시간 알림으로 교통사고 예방가능하고 보행자, 차량 통행량 등 실시간 모니터링을 통해 교통정보 수집 및 분석 가능합니다.

Counting hardware was replaced summer 2024. These sensors counts both people riding bikes and pedestrians. Separate volumes are tallied for each travel mode. Wires in a diamond formation in the concrete detect bikes and an infrared sensor mounted on a wooden post detects pedestrians. The counters also capture the direction of travel for both bikes and pedestrians. The temporary counter data from 5/10/2013 to 12/11/2013 have been combined to this data set which counted only bikes and not pedestrians.

These sensors counts both people riding bikes and pedestrians. Separate volumes are tallied for each travel mode. Wires in a diamond formation in the concrete detect bikes and an infrared sensor mounted on a wooden post detects pedestrians. The counters also capture the direction of travel for both bikes and pedestrians.