News

Vivacity Expands into City of Port Phillip in Australia

Tuesday, 24 August, 2021
Vivacity labs at City of Port Phillip in Australia

Vivacity’s AI-powered traffic sensors will be installed in the City of Port Phillip in Australia this year to measure bike rider, pedestrian and motor vehicle movements and help the council reduce congestion and increase sustainable transport.

Our sensors, which capture anonymous data on different modes of travel, have been installed in partnership with City of Port Phillip (CoPP) and Bicycle Network. The partnership initiates Vivacity’s expansion into Australia.

With a 23% projected increase in resident growth by 2027, the partnership will help promote active travel in the local area, particularly the use of bikes and e-scooters, with Vivacity’s technology supporting the council to make data-driven decisions and implement new schemes successfully. Our AI-powered sensors will measure bike and pedestrian data in real-time along CoPP Integrated Transport Strategy Routes, monitoring a variety of locations including footpaths, cycle lanes and roads.

By accruing this anonymous data, the city will be able to gain an understanding on how these road users interact on specific roads and junctions, as well as interactions with newer modes of travel such as e-scooters. This will enable the council to plan what physical changes, such as segregated lanes and size of footpaths, will work to both enhance active travel and improve traffic flow, and therefore also reduce conflict between transport modes and emissions.

As part of its ongoing Integrated Transport Strategy Project, CoPP is investing in transport data capture to evaluate and monitor progress toward mode shift targets. The authority is committed to supporting a well-connected transportation future, to make it easy for people to move around and connect with places in a way that suits them as the city grows. The project will promote safe, connected and convenient active transport choices, ease congestion and provide new transport options for residents and visitors.

James Hill, International Business Development Director at Vivacity Labs, says: “Our partnership with Bicycle Network will go a long way in providing detailed and accurate transport data insights to help ensure the right decisions are being made to improve travel patterns in the City of Port Phillip. We’re extremely proud to be supporting the implementation of initiatives that encourage active travel, cycling safety and lower pollution levels to help maintain sustainable streets in Victoria, and across the globe.”

Craig Richards, CEO at Bicycle Network, says: “These AI sensors have the power of a thousand people holding clipboards and pens. It gives us real-time information along a full road, not just one site, helping us understand how all road users interact.”

Our sensors use artificial intelligence and machine learning to capture anonymous traffic counts in real-time across a selected ‘count line’. These counts can show the interactions between pedestrians, cyclists and cars, for example, and provide insights on factors such as number, pathways and speed. The data is completely anonymised and presents no privacy or personal data risk.

Get in touch with our team to find out more about our traffic management and data solution and ask for a free demo.

Bicycle Network in Australia…

  • Represents 50,000 bike riding members and works to make riding easier so people can live healthier and happier lives
  • Campaigns to build more places to ride and make bike riding safer for all Australians
  • Conducts national behaviour change programs including Ride2School and Ride2Work
  • Runs world-class events including United Energy Around the Bay, Great Victorian Bike Ride, Newcrest Orange Challenge, Peaks Challenge Falls Creek and Gravel Grit
Bicycle Network and Vivacity Labs partnership with the City of Port Phillip in Australia

For more information visit bicyclenetwork.com.au. Follow Bicycle Network on Twitter at @Bicycle_Network, Facebook at /BicycleNetwork and Instagram at @Bicycle_Network


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