Machine learning experts at LNER have developed new technology that can help to predict train delays.
Following a successful trial at Peterborough and Newark Northgate stations, the capability is now being introduced across the LNER station network, helping to keep trains on time.
The tool takes data from previous train performance, adds factors such as the number of people travelling and weather conditions, and highlights services which may encounter a delay at an LNER station. The tech is available to all colleagues via their LNER mobile phone and can identify services with the potential for delay and the expected cause, enabling station teams to plan accordingly. Using the information, they can adapt the support they provide more closely to the needs of customers, meaning journeys and trains run smoother.
The extra foresight and planning mean that across the trial, dwell times of LNER trains at Peterborough and Newark Northgate stations improved. Data collected showed that over 450 potential delays were avoided, helping LNER to keep trains running in accordance with the timetable.
Ian Whittles, Station Delivery Manager at Peterborough, said:
“The new capability, developed by our in-house Machine Learning Team, has proved to be an invaluable tool for my team."
"Peterborough is a busy station, so we are well experienced at reacting quickly and resolving issues which may occur throughout the day. The insight provided by the predictive delay tool allows us to plan more effectively, keeping our customers and our trains on the move.”
Steven Lloyd, Machine Learning Product Lead for LNER, said: “We saw an opportunity to provide a solution for our teams, which would help them to not only deliver fantastic service to customers, but also enable them to get ahead of any potential issues. This solution really is the embodiment of the saying ‘to be forewarned is to be forearmed.’ It highlights pinch points, enabling teams to be proactive in reducing the reason for delay.
“The data captured from the trial has been positive, so we’re now rolling out the capability across our whole station network. It’s not just the time saved either, we’re also considering the carbon savings of trains being on the move more and dwelling at platforms less. So, this solution may have even more benefits than initially estimated.”
Robin Gisby, DFTO Chief Executive, said: "The rollout of this innovative technology across the LNER station network is a huge step forward in reducing delays and improving reliability. We are striving to improve the experience of all our passengers through harnessing new technologies, to deliver the modern and dependable railway that customers want and need."
Image credit: iStock
