Data

Smart Pedestrian Project

data.nsw.gov.au
Transport for NSW (Owner)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/2-smart-pedestrian-project&rft.title=Smart Pedestrian Project&rft.identifier=http://data.nsw.gov.au/data/dataset/2-smart-pedestrian-project&rft.publisher=data.nsw.gov.au&rft.description=List sensorsDownload sensorsList all readings for a specified sensorDownload sensor readingsAPI DocumentationList all visual sensors**Smart Cities, Smart Liverpool, Smart Pedestrian Project**\n\n\nThousands of people walk through the Liverpool city centre every day and, through the Smart Pedestrian Project, the paths they take will help shape the city’s future.\n\n\nLiverpool City Council is counting pedestrian and vehicle movements around the city centre, collecting data from smart devices and camera-counting technology. The data is stripped of any identification and relayed and collected for analysis by researchers from the University of Wollongong.\n\n\nLiverpool City Council now uses this data to inform planning decisions and respond to the rising number of residents and workers making their way around the city centre every day. \n\nLiverpool City Council secured an Australian Government Smart Cities and Suburbs grant to jointly fund the project.\n\n\nLiverpool City Council worked with IT Integration Company Meshed and the University of Wollongong to deliver the technology. Meshed supplied the Low Power Wide Area Network and developed a Wi-Fi smart device counter. The university developed the people and vehicle-counting technology and data analysis. The technology makes use of the city’s existing CCTV cameras to capture images. No images are transmitted over the network, so there is no risk to privacy.\n\n\nThis dataset lists the API endpoint URLs to retrieve data for the smart pedestrian project. A dashboard to view the data can be found at https://pavo.its.uow.edu.au/ \n\n\n**Please read the API documentation as you need to provide the parameters to make any API calls.** \n\nAn example has been provided below that lists all the visual sensors.\n\n\nThe API is divided in two sections: sensors, and readings (data gathered by sensors). \n\nUnless otherwise noted: \n\n\\* all datetimes are ISO formatted \n\n\\* all responses are JSON-formatted\n\n\n&rft.creator=Anonymous&rft.date=2024&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft_subject=Civic&rft_subject=Liverpool&rft_subject=Liverpool City Council&rft_subject=University&rft_subject=air&rft_subject=air quality&rft_subject=council&rft_subject=movement&rft_subject=pedestrian&rft_subject=people&rft_subject=quality&rft.type=dataset&rft.language=English Access the data

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Brief description

**Smart Cities, Smart Liverpool, Smart Pedestrian Project**\n\n\nThousands of people walk through the Liverpool city centre every day and, through the Smart Pedestrian Project, the paths they take will help shape the city’s future.\n\n\nLiverpool City Council is counting pedestrian and vehicle movements around the city centre, collecting data from smart devices and camera-counting technology. The data is stripped of any identification and relayed and collected for analysis by researchers from the University of Wollongong.\n\n\nLiverpool City Council now uses this data to inform planning decisions and respond to the rising number of residents and workers making their way around the city centre every day. \n\nLiverpool City Council secured an Australian Government Smart Cities and Suburbs grant to jointly fund the project.\n\n\nLiverpool City Council worked with IT Integration Company Meshed and the University of Wollongong to deliver the technology. Meshed supplied the Low Power Wide Area Network and developed a Wi-Fi smart device counter. The university developed the people and vehicle-counting technology and data analysis. The technology makes use of the city’s existing CCTV cameras to capture images. No images are transmitted over the network, so there is no risk to privacy.\n\n\nThis dataset lists the API endpoint URLs to retrieve data for the smart pedestrian project. A dashboard to view the data can be found at https://pavo.its.uow.edu.au/ \n\n\n**Please read the API documentation as you need to provide the parameters to make any API calls.** \n\nAn example has been provided below that lists all the visual sensors.\n\n\nThe API is divided in two sections: sensors, and readings (data gathered by sensors). \n\nUnless otherwise noted: \n\n\\* all datetimes are ISO formatted \n\n\\* all responses are JSON-formatted\n\n\n

Full description

List sensors
Download sensors
List all readings for a specified sensor
Download sensor readings
API Documentation
List all visual sensors

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