Locomotive Engineers

Today’s locomotives already use smarter tools to help engineers. For example, onboard computer systems like the LEADER “auto-pilot” use GPS and track data to automatically adjust throttle and braking ^[1]. Research labs have even shown that cameras and AI can read analog gauges just as well as a person ^[2].

Trains also carry sensors (cameras, radar, etc.) that watch the track ahead for obstacles ^[3]. In some yards, automated brake-test machines are being tried to cut inspection time ^[4], and trials are underway of fully driverless shunting locos ^[5]. Engineers still do final checks, but AI tools can flag issues early – for instance, new systems use camera imagery to spot wheel cracks or flats in real time ^[6].

In short, many routine monitoring tasks are being automated or assisted by AI, while the engineer still oversees the train.

Rail companies have good reasons to use these AI tools, but they move carefully. Systems like LEADER can save a lot of fuel (up to ~17%) ^[1] and improve efficiency. New safety tech, such as obstacle-detection AI ^[3], can reduce accidents.

Governments and industry partners are investing—for example, Germany granted €7 million to test driverless yard engines and smart brakes ^[5]. However, trains carry people and goods at high speeds, so strict safety rules and high costs slow full automation. Union agreements and public trust also play a role.

On the positive side, many younger engineers welcome new tech ^[7] and find that automation handles the repetitive work for them. Overall, AI can take over routine checks and alerts, but human skills – especially careful judgment and experience – remain at the heart of safe train operations.