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Using AI to monitor mobility modes across the Park


Objective: Support evidence-based decision making in urban planning, transport and active mobility using accurate and GDPR-compliant AI technology.

Shift pillar: Movement in cities

Partners: FYMA, London Legacy Development Corporation

Project description: Queen Elizabeth Olympic Park  partnered with artificial intelligence (AI) computer vision company Fyma to transform CCTV cameras across the 560 acre park into smart devices. The new smart devices examine “everything from trends in bicycle users and e-scooters, to the popularity of bus stops and waiting times at road junctions”.

Outcomes and Benefits

Fyma’s urban intelligence video software provides geolocated traffic data in real time. The data is then analysed within the contexts of road safety, accessibility, user experience, traffic patterns, and sustainability. Insights can be tailored to a variety of use cases to enable better management of road traffic and networks, inform future public realm improvements, and support the shift towards active mobility in strategic locations.

Emma Frost, director of innovation, sustainability and community at LLDC, said:

“As a testbed for urban innovation, we wanted to pilot new ways of using tech to help us serve the needs of the park, its residents and visitors and meet our ambitious growth and development plans.
“Our collaboration with Fyma was our first project using the latest AI computer vision platform, in a way that was easy to use, reliable and accurate, and maintained unparalleled levels of data privacy. We are keen to work in partnership with the world’s leading innovators, like Fyma, who are passionate about using technology to create better urban futures and have established SHIFT– the park’s inclusive innovation programme and partnership to drive this forward.”

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