Using AI to optimise capacity management for public transport

Fluctuating demand and shifting working patterns have increased the need for accurate forecasting for public transport operators, especially as established approaches – such as in-person surveys and spot checks – can often lead to inaccurate and unreliable predictions.  

Startup OpenCapacity is using artificial intelligence (AI) to transform public transport monitoring, forecasting and capacity management. Its innovation is helping operators to improve service efficiency and better match capacity to usage patterns in real time, enabling the shift from reactive to proactive service planning for effective capacity management – whether over the long term, or to accommodate localised large-scale events. 

OpenCapacity works primarily with public transport operators, using existing data sensors (such as load weight data, CCTV cameras, and door counters) to provide real-time information on passenger numbers and locations. This data is then enriched with external data points – such as weather, events and seasonal trends – to help model and predict future passenger flow and demand for capacity.  

Open Capacity focuses on solving problems in the transport industry, developing AI applications that enable passengers and operators to make informed decisions. As well as providing analytics, forecasting and visualisation for effective capacity management, its digital twin technology helps operators better understand the condition and the content of rolling stock assets in real-time and future states.