Sport cyclist on bike on country road

Getting more of our citizens cycling is one part of the solution to urban mobility. If more people, especially commuters, are cycling not only will it reduce congestion and pollution, but it’s guaranteed to make city dwellers healthier and happier. Knowing more about cycling behaviour can help planners make our city more welcoming to cyclists.

We set up a joint eighteen-month research and development project with the Department for Infrastructure, Belfast Healthy Cities, Queen’s University Belfast, Bristol University, BT, the Police Service for Northern Ireland, and local cycling tech company, See.Sense.

The project deployed Internet of Things devices developed by See.Sense on to Belfast’s Bikes. The award-winning device uses advanced sensor technology to gather anonymous data via a LORAWAN network provided for R&D purposes by BT.

Data scientists at Bristol University and Queen’s University will use this crowdsourced data to build a sophisticated picture of the daily habits of the city’s growing cycling community.

This real-time information will help transport planners to make cycling a safer and more fun experience as part of wider transport planning for the city. The humble bicycle has been transformed into a research data platform.

Queen’s University researchers

Belfast trailblazing in 5G

Queen’s University Belfast researchers win major global award for 5G network research.

Daytime harbour and docklands Belfast

Phase two of Last Mile Delivery challenge

Smart, low cost solutions to optimise freight and cargo deliveries in urban centres, and improve traffic management, air quality, noise pollution and road safety.

Belfast Skyline

Using machine learning to support business rates collection

We explored how data analytics and machine learning can maximise the accurate collection of business rates, as well as maintain an up-to-date register of businesses in the city.