Network Rail Pilots Automated Hazard Detection on East Coast Main Line

Network Rail and Hitachi Rail have launched a 12-month pilot project leveraging automated monitoring technology to detect potential hazards on the East Coast Main Line.

This initiative focuses on identifying risks such as overhanging trees, fallen leaves, and subsidence, which can disrupt railway operations.

The project uses Front-Facing CCTV (FFCCTV) digital monitoring to enhance the safety and maintenance of infrastructure and vegetation. This technology employs advanced AI from CrossTech, acting as a digital supplier for Hitachi Rail.

The cutting-edge technology is integrated into LNER Azuma trains, manufactured by Hitachi Rail. 
The cutting-edge technology is integrated into LNER Azuma trains, manufactured by Hitachi Rail

Throughout the project, real-time monitoring will provide crucial data on potential hazards such as invasive tree species, leaves on the track, or embankment subsidence. Network Rail has previously reported that vegetation-related incidents can cost up to 3 million GBP annually in the Southern region alone, highlighting the financial significance of this initiative.

Johanna Priestley, Route Engineer at Network Rail, said:

“Vegetation is the only living asset on the railway network and as such, understanding the potential risk to trains is ever-changing. Using forward-facing footage allows us to ‘see’ from the driver’s perspective. We can use this technology to understand where vegetation is encroaching on the operational railway and at risk of making contact with either trains or fixed infrastructure such as overhead electrified wires. We can also identify where vegetation growth has compromised the driver’s view such as on the approach to signals or level crossings. This initiative will allow us to make passengers’ journeys more reliable and help minimise the risk of disruption on the network.”

The FFCCTV cameras have been installed inside the driver’s cabin of an operational LNER Azuma. The cameras are equipped with the latest AI sensor technology to digitise infrastructure monitoring and maintenance on the East Coast Main Line.

By automating hazard detection and identifying required maintenance tasks, the project aims to adopt a proactive approach to infrastructure upkeep. Additionally, the trial will offer insights to optimise maintenance schedules and locations along the route.

Linda Wain, Engineering Director at LNER, said:

“At LNER, we are always looking at how we can further enhance our performance and innovate to provide our customers with an even better experience when travelling with us. We are delighted to be working with our industry partners on this digital trial, with technology fitted in the train cab that will provide real-time information and updates on infrastructure, helping to highlight any potential issues.”

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