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Cities are testing driverless trains thanks to two key technologies: Remote Train Control (RTC) and Automatic Train Operation (ATO). In a recent study of a European tram network, researchers interviewed 44 experts – operators, suppliers and safety managers – to see what really changes. The findings highlight three major benefits: first, productivity rises because trams can run closer together safely. Second, safety improves as systems constantly monitor speed, brakes and signals, cutting human errors. Finally, the environmental impact drops as energy is used more efficiently. But it’s not all smooth sailing. Challenges are equally strong: current regulations often don’t cover driverless trains, so new laws are needed. Technically, a stable data connection and protection against cyber‑attacks are essential. Moreover, staff must acquire new skills or shift roles, which can cause tension. The authors recommend a step‑by‑step approach, testing solutions in controlled settings and involving all stakeholders from the start. Only then can cities fully harness automation, making transport faster, safer and greener.

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Automatic Train Operation (ATO) relies on predictive control algorithms that compute the optimal vehicle trajectory in real time, considering variables such as gradient, load weight and weather conditions. The system uses positioning sensors (GNSS), magnetic balises and V2I (Vehicle‑to‑Infrastructure) communications to constantly update the digital map of the route. Remote Train Control (RTC), on the other hand, requires a low‑latency communication network (typically 5G or LTE‑Advanced) linking the vehicle to an operations centre. This architecture enables emergency command transmission, driving parameter updates, and real‑time diagnostic data collection. Cybersecurity is a critical aspect: communications must be encrypted with TLS 1.3 protocols and include public‑key authentication mechanisms to prevent intrusions. From a regulatory standpoint, EU Directive 2016/797 mandates functional safety certification at SIL 4 level for railway control systems, implying fault‑tolerance testing and hardware redundancy. Moreover, organizational transition demands up‑skilling programs for operators, with certified courses on ATO/RTC management and fault‑scenario simulations. A gradual rollout, starting with low‑traffic lines, allows the collection of operational data, refinement of AI algorithms, and demonstration of regulatory compliance while reducing implementation costs.

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Authors:
Xavier Morin
Date Published:
Original Article www.mdpi.com
Fact-check verified on 15/04/2026
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Creative Commons License CC BY-NC-SA 4.0

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