Wednesday 16 June 2021

Autonomous technologies in rail discussed at a successful dedicated webinar

Share this article

An online webinar, “Autonomous Technologies in Rail – Anticipating Expectations” was held on 9 June with over 400 registered participants, bringing together experts from four continents who shared their experience in research, development and implementation of autonomous railway systems for passengers and freight. The webinar took place within the framework of the UIC International Railway Research Board (IRRB) chaired by Vladimir Andreev, Head of the Technical Policy Department at JSC “Russian Railways”. Also in attendance were Dr. Boris Lapidus, Honorary IRRB Chair and Chair of the Joint Scientific Council of JSC “Russian Railways” and Christian Chavanel, Director of the UIC Rail System Department.

The webinar was held during a very favourable period for the railways, which are increasingly regarded by the public, policymakers and businesses as one of the solutions required to adapt to climate change. Their expectations are likely to become increasingly demanding. Consequently, more and more trains will be run on increasingly busy tracks in the future. There is therefore a need to harness the maximum capacity of the railway system, maintain or improve safety and punctuality and reduce driver numbers, thereby saving energy while increasing infrastructure capacity, productivity and cost efficiency. Automation will be essential in achieving these changes.

Participants were provided with an overview during the webinar of a large variety of potential use cases and current and future research topics:
The Rio Tinto Group presented the world’s first autonomous heavy haul train, AutoHaul®, whose performance encapsulates all of the advantages that automation can bring to freight: improved safety, increased speed from point to point and reduced cycle time. Furthermore, this project is supported by hundreds of engineers worldwide, highlighting the growing influence of automation and interest in dissemination webinars such as this one.

Chinese Railways, on the other hand, uses Automatic Train Operation (ATO) for its passenger trains. Compared with traditional manual driving, the ATO system benefits the passenger experience on all fronts with enhanced capacity, improved punctuality and comfort and optimised traction energy. Much like the aforementioned system, ATO reduces labour for the driver.

Both groups advocated for ATO as a safer, greener and more efficient technology with promising prospects thought to be unattainable a mere decade ago. However, automation still has a number of technical hurdles to overcome.

As promising as automation is, the technology is still being refined. The SNCF Autonomous Train Programme is fine-tuning varying levels of automation in four ongoing projects: signalling and obstacle detection, remote driving (TC-Rail), autonomous passenger trains and autonomous freight trains. Prototypes have brought to light a number of areas for improvement: an operational vision system, an adapted video link, further exploration of satellite technologies and remote panel testing.

RZD Holding noted similar issues with remote driving and focused on the multiple variables taken into account to avoid collisions: obstacle perception, track visibility, weather effects, lighting, glare, limited visibility areas, etc. It raised questions in relation to how to cover all possible visibility conditions, how to create a dataset with consistent labelling, and whether such data should be shared. RZD reached the conclusion that localisation and high-definition maps could resolve the issue. Nevertheless, some technical challenges remain, such as the amount of bandwidth required for the video feed.

What emerged from the discussion was that safety is the foremost priority for all participants and the main area for improvement in railway automation. Automation goes beyond the train itself, and includes infrastructure and cybersecurity in railway signalling.

The Association of American Railroads (AAR) explained that automation technology needs to make the transition by crossing the so-called “SRI bridge” (Strategic Research and Innovation). For automation to be fully implemented, technology transfer, technology implementation and regulatory support are required. The AAR is currently focusing on interoperable specification development.

According to Shift2Rail, ATO over ETCS is a mature solution whose full interoperability has been demonstrated, and can now be implemented. European railways are on track to achieve full automation by meeting the GoA4 requirements, or Unattended Train Operation (UTO), with pilot tests scheduled to start in January 2023.

Thanks to this webinar, participants gained an understanding of how automation is the meeting point for all current technical challenges: different grades of automation (GoA 1 to 4), driver workload, safety, impact on signaling and traffic management, level crossing, collision and obstacle detection, energy saving, automatic headway, stop at stations, opening and closing of train doors, platform door control, satellite technologies, telecommunication technologies, train location, cybersecurity, Internet of Things (IoT), artificial intelligence, remote control, interoperability, predictive maintenance, better experiences for passengers in terms of comfort, but also creation of consortia or partnerships, creation of new standards, and adaptation of the regulatory framework.

UIC believes that the railway sector can accelerate the innovation cycle and encourage market uptake of innovation through appropriate integration of innovation into the railway system architecture, early drafting of new operational rules adapted to innovation and dissemination of innovation within the sector. These are the main roles and responsibilities that UIC has taken on in service to its members.

The webinar highlighted the need for a systemic approach and acceleration of research in key areas such as railway automation.

For further information, please contact Martin Brennan at

2 Votes

Average rating: 4.5 / 5