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St Pancras

London St Pancras case study: First-of-a-kind real-time digital twin

In 2019, OpenSpace built the first ever real-time digital twin of a UK railway station at London St Pancras. The platform uses emerging technologies to improve customer experience and optimise operations, by providing real-time decision support for station operators.

We capture live people movement and social distancing using an array of sensors equipped with computer-vision. This information is fused with other datasets, such as 3D station models and live train arrivals, to produce real-time 2D and 3D crowding heatmaps for station staff. Cutting-edge visualisation tools also show live adherence to 2m+ social distancing, and through VR, the crowding situation from a passenger perspective.

Reducing COVID19 transmission

The novel platform also uses people flow simulation and machine learning to predict overcrowding issues. It notifies station operators automatically before situations occur, so that mitigating action can be taken to avoid people congestion and COVID19 transmission risk hotspots.

We’re uniting existing and emerging datasets and simulations to create a people-centric and persistent digital twin. It provides a detailed and holistic view of the day to day operations within St Pancras - a digital baseline for asset performance. From this baseline, asset operators can design, simulate and test interventions, especially to reduce overcrowding and COVID19 transmission. With the OpenSpace platform, they now have an intelligent operational playbook to maximise performance across the station.

The ground-breaking digital twin at St Pancras, live today, was delivered in collaboration with HS1, Govia Thameslink Railway, Network Rail, Innovate UK and the Department for Transport.

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