Avanti West Coast Tests CFMS Digital Optimisation One-Year Trial

LONDON, UK – British train operator Avanti West Coast has begun a one-year test of a digital train traffic optimisation system designed to manage unforeseen service disruptions more effectively. Developed by the Centre for Modelling and Simulation (CFMS), the tool uses digital simulations to rapidly generate alternative timetables. The trial is taking place on the Anglo-Scot and North Wales routes, which are frequently impacted by severe weather.

What Are the Technical Specifications?

The system functions as a decision-support tool for operational staff, who input disruption parameters such as speed restrictions or line closures to receive optimised service plans. Its core function is using modelling and simulation to propose revised timetables that keep a maximum number of services running. The platform saves each disruption scenario, creating a library of responses that can be reused to manage similar future incidents more efficiently. While the tool’s immediate focus is on timetabling, Avanti is also assessing its potential for managing associated crew and rolling stock availability. The specific processing time required to generate a new timetable scenario was not disclosed.

Key Technical Data

Where Does This Technology Stand in the Market?

The CFMS tool is a specialised solution focused on operator-level dynamic re-planning during active disruptions. This contrasts with broader, network-wide Traffic Management Systems (TMS) and other AI applications in the rail sector. For instance, SK Group in South Korea is testing ‘Small AI’ for closed-loop factory rail systems, targeting 100% utilisation through agentic AI in a controlled industrial environment (Source: The Elec). In the mainline market, established systems like Siemens Mobility’s Railigent X platform concentrate on predictive maintenance and asset monitoring to prevent faults from occurring, rather than reacting to them. Similarly, Thales’ ARAMIS is a comprehensive TMS designed for real-time, network-wide traffic control and conflict resolution, representing a higher level of infrastructure integration than the CFMS tool. The Avanti trial positions the CFMS system as an agile, tactical tool for operators to complement, not replace, larger control systems.

Editor’s Analysis

This trial reflects a wider trend towards digitalisation within UK rail, stimulated by significant planned infrastructure spending. The UK government’s updated Infrastructure Pipeline identifies workforce needs for £718 billion of public and private investment, creating a strong business case for technologies that enhance operational efficiency and network resilience (Source: Railway Pro). The success of targeted, agile tools like the CFMS system could demonstrate value for operators seeking to improve performance without undertaking costly, network-wide TMS overhauls. This approach allows for incremental gains in reliability and faster responses to increasingly common weather-related disruptions.

FAQ

Q: What specific problem is this technology trying to solve?
A: The system helps Avanti West Coast respond faster to unplanned events like severe weather or infrastructure faults. It generates optimised alternative timetables to minimise cancellations and reduce the cascading impact of delays on passengers.

Q: How was this project funded?
A: Its development was backed by the Small Business Research Initiative (SBRI) via the “First of a Kind” competition. This innovation programme is funded by the UK’s Department for Transport and implemented by Innovate UK.

Q: Will this system replace human train planners?
A: No, the system is designed as a decision-support tool. Operational staff input the disruption details and use the system’s rapid suggestions to make faster, more informed decisions about how to modify the train service.