Digital train traffic optimization system to manage disruption

Avanti West Coast has launched a digital train traffic optimization system trial to help manage unforeseen disruption more effectively, as outlined by Avanti West Coast.

Built by the Centre for Modelling and Simulation (CFMS), the tool uses digital simulations to support rapid decisions when planned services are knocked off track.

How the digital train traffic optimization system supports disruption response?

The system is intended to generate alternative traffic options during events such as speed restrictions, line closures, or severe weather disruptions. Also, operational staff enter the parameters shaping the day’s planned services, and the platform returns optimized timetable suggestions. These can be implemented quickly to keep as many trains running as possible and reduce the impact on passengers.

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Each scenario is stored in the platform so it can be reused later. At the same time, that structure helps teams respond faster when similar issues arise again. The technology will be tested for one year on the Anglo-Scot and North Wales routes, which are frequently affected by severe weather conditions.

Support for operational decisions beyond the timetable

Alongside timetable optimization, Avanti West Coast is assessing whether the tool could also help with other operational decisions. In addition, that includes managing staff and rolling stock availability when scheduled services cannot be fully operated because of weather, infrastructure problems, or incidents on the line.

Andy Mellors, Managing Director of Avanti West Coast, said the technology gives the operator an additional tool to improve services when disruption occurs, helping to increase reliability and enable a faster response from the rail system. Sam Paice, CEO of CFMS, said the solution developed with the British operator applies modelling and simulation to minimize the impact of disruptions and increase operational efficiency.

Project backing and industry recognition

The development work was supported by the Small Business Research Initiative (SBRI) program through the “First of a Kind” competition, funded by the Department for Transport and implemented by Innovate UK, as described on the UKRI First of a Kind (SBRI) programme page.

Separately, the solution was also shortlisted for the Collaborate to Innovate (C2I) Awards organized by The Engineer magazine, as reported by RailwayPro.

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