This case study explores the application of technology to address issues with trains in England by LNER, a railway company operating in the country. They revealed the results of testing a safety system at Stoke Junction and expanded installation points with the goal of reducing deer fatalities.
The system utilizes AI to differentiate objects detected, sending a warning signal if a deer approaches the tracks, until it safely moves away. After a year of implementing the devices, the notifications have reduced incidents by nearly 6,000 times. This has prompted plans for further deployment of these devices on England’s railways in the future.
Data from English railways indicate an average of 4 animal collisions on tracks per day, mostly in remote wooded areas. The automated warning system can mitigate these losses, with deer being the most commonly involved animals, with a population exceeding 2 million in England.
Source: BBC Image: Pixabay
TLDR: LNER in England uses AI technology to reduce train accidents involving deer by implementing an automated warning system that has significantly decreased incidents, prompting future installations across the country.
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