Traffic management on the railway is traditionally based on local knowledge and phone calls along the line to agree changes. Using the Luminate Digital Platform, traffic managers now have end-to-end visibility of the route for the first time, and there is a digital flow of data between control centers. Artificial intelligence is used to predict future delays, using data from the trackside, timetable information, and information about maintenance and rail availability.
- Increase capacity on the rail network without infrastructure construction
- Increase passenger satisfaction and reduce the impact of financial penalties, by minimizing delays
- Data on real-time track movements is gathered from the trackside
- Luminate Digital Platform uses artificial intelligence to predict future disruption so traffic managers can intervene
- Intel® technologies enable the solution, from the trackside to the control center
- The Intel® Xeon® Gold processor is used to analyze rail traffic and predict future disruption using AI algorithms
- Traffic managers have end-to-end visibility of the route for the first time
- Communications between control centers are now based on a digital flow of information, rather than phone calls
- Traffic managers can intervene if a future delay is likely, by rerouting trains to reduce delay
- Reducing delay can increase capacity on the network and improve customer satisfaction
Unlocking Capacity on the Railways
Rail forms an important part of the transport infrastructure in many countries, both for passengers and for freight. As demand increases, the rail industry faces the challenge of how to add capacity. Often, the land and budgets are not available to extend the network, so the industry needs technology solutions that will enable more capacity to be squeezed from the existing infrastructure.
At the same time, it is important to minimize delays. Not only must rail passengers have a good travel experience, but delays can also lead to financial penalties for infrastructure and rail service operators.
The goal is to reduce delays and disruptions, and in this way unlock additional capacity on the network, increase customer satisfaction, and reduce the impact of penalties.
Resonate's Luminate Digital Platform uses artificial intelligence to predict future delays on the train network. The solution has been trained using 10 years of historical data, so it can recognize patterns that lead to disruption.
The rail operator provides data on train movements from the trackside, gathered using Internet of Things (IoT) gateways. Luminate also has access to timetable data, and information on maintenance, temporary speed restrictions and asset failures. Combining the data, the solution can identify if a disruption is likely and alert traffic managers so they can take preventative action. The solution can predict, for example, that two trains might both want to use the same platform in an hour's time because one of them is delayed. Traffic managers can intervene to divert one of the trains to another empty platform. This would avoid the delay on those services, and any future services that rely on the timely availability of those same trains.
Luminate gives traffic managers end-to-end visibility of the route. They start the day with a forecast of what's likely to cause the biggest problems, based on track closures or train availability, so they can be proactive from the start.
When traffic managers decide on a course of action, the Luminate solution can simulate it so traffic managers can see the impact of their changes and test them. When the traffic managers are satisfied, Luminate can communicate with the signaling system to implement the changes automatically.
Communications between control centers previously relied on phone calls between traffic managers to agree changes, but Luminate provides a digital flow of information along the route that greatly simplifies decision making and implementation.