5G Connected Tram
Working with West Midlands Metro and GoMedia, West Midlands 5G (WM5G) is exploring how 5G connected trams can create new possibilities for the region’s public transport.
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We’re helping to drive significant innovation across the West Midlands transport network through a range of 5G trials, including real-time parking availability, HD CCTV for the region’s tram network and utilising existing 5G infrastructure to count traffic.
Our pilot projects across both public transport and the region’s roads underlined the work we’re doing across all of our projects to unlock the potential of 5G.
Utilising this revolutionary technology for the transport network across the West Midlands will allow us to make public transport safer, make our roads less congested and offer a real-time tailored experience for road users.
While these pilot projects were early trials in using 5G to improve the experience of citizens travelling in the West Midlands, the results show the benefits a better-connected region can reap across its roads and on its public transport.
Some early results from these short-term trials include:
Read more below to see more details about the projects that we have supported so far, laying the foundations for future transport projects to help transform the region. All trials include a case study for a full analysis of the results of these pilot projects.
Working with West Midlands Metro and GoMedia, West Midlands 5G (WM5G) is exploring how 5G connected trams can create new possibilities for the region’s public transport.
Read More >
The demonstration saw a live HD street scan being captured from a vehicle travelling an agreed section of roadway. The footage was transmitted and processed via 5G networks to confirm parking availability in real-time to the AppyParking app.
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WM5G partnered with smart sensor provider Vivacity Labs, to validate the application and use of 5G-enabled smart sensors to accurately identify and classify road usage in real-time.
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WM5G and Ericsson’s Mast-as-a-Sensor trial demonstrates how to use existing infrastructure (4G and 5G masts) and turn them into sensors, using AI and machine learning to produce real-time traffic data.
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