Metroline is the first UK operator to implement FlowOS Live AI-assisted service control software across its entire London operation following a successful pilot at its Edgware garage.
The software was developed by Prospective.io and uses machine learning to simulate vehicle progress and recommend optimal real-time interventions for drivers to improve reliability, cut delays and reduce peak-time vehicle overcrowding.
During the trial the system helped control room staff to significantly cut excess waiting time, collectively saving passengers 2,000 hours across Metroline’s services in the capital.
The successful trial means the operator has now signed a licensing agreement to deploy FlowOS across all of its London garages. Staff training is already underway.
Says Pete Ferguson, CEO at Prospective.io: “FlowOS Live is used for critical fleet monitoring and decision-making day in, day out. As such it’s been essential to build, test and refine the system with close and continuous feedback from control room staff to ensure that the potential of the technology can be realised on the ground. Working closely with Metroline we’ve been able to ensure that the software’s recommendations are effective, and that the overall system works in a practical context, enabling teams to successfully embed AI in their daily work.”
Adds Sean O’Shea, CEO at Metroline London: “Metroline is committed to evolving our service delivery and passenger experience. Embedding the AI-assisted software in our daily operations will not only help us to deliver on these objectives but will also support our vision to deliver safe, reliable and sustainable transport to our communities.”
Metroline parent ComfortDelGro says it will also explore “opportunities to extend the use of AI to its bus operations in Singapore and Australia”.
