Research: Best Practices in Operating UTO Lines

In 2016, fifteen CoMET and Nova metros have experience in planning or operating automated lines. This study identified good practices in operating fully automated metro lines, known as Unattended Train Operation (UTO) lines. The majority of UTO lines are GoA4 and this trend is projected to continue, with a sharp increase in UTO lines planned for the next 10 years. Given this rapid adoption of UTO, this study was selected by CoMET and Nova members to identify how best to prepare for and eventually operate driverless trains.

The study identified a number of metros good and emerging practices for operating UTO lines from preparation stages to operation. Testing periods for UTO lines, for example, are carried out at three different levels: testing of components, of systems and of whole lines. Following this period, metros may assign on-board staff for fast response to potential service instabilities and passenger assistance. Ultimately for GoA4 lines, incidents are dealt with remotely, managed in practice by the OCCs. This requires a shift in practice from frontline to remote problem-solving. Also, the study determined that whilst UTO lines are generally more reliable, incident management can become a bigger challenge than with conventional lines.

Meetings: Nova Annual Meeting 2015, Barcelona

In April 2015, members of the Nova group met in Barcelona for their annual meeting. The group were also joined by CoMET members, Metro de Madrid. The meeting provided an opportunity for members to hear the results of this year’s research. In addition, each member gave a brief update on the current issues in their metro and any changes over the last six months, with opportunity to discuss and ask the advice of peers on relevant topics.

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The hosts, Barcelona TMB arranged fascinating technical visits. The group were honoured to visit the security canine facility and watch a demonstration of the security dogs working. There was also an opportunity to see ‘behind the scenes’ of the new automated line 9. This included an opportunity to meet and ask questions to the multifunctional staff who work on that automated line.

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Research: Unattended Train Operation

RTSC’s recent research into unattended train operations (UTO) has investigated the role of human operational support on UTO lines. In doing so, a key finding relates to the use of attendants or train captains – metro staff members who are based in the passenger car, rather than in a separate driver’s cab. Formal definitions of Grades of Automation as in IEC-62290 assume that if a staff member is onboard, they are fulfilling a necessary role, in operating the train, as in London’s Docklands Light Railway where attendants close the doors. The assumption is therefore that lines capable of being operated unattended (Grade of Automation 4) are operated unattended. This research study has found that in fact some metros with GoA4 lines actually use attendants on all trains for other reasons, for example to provide customer service. This has led RTSC to describe this type of line as ‘Attended GoA4,’ reflecting the fact that it fits the specification for a GoA4 line as described in IEC-62290, but is not being operated unattended. The diagram below illustrates how ‘Attended GoA4’ automation fits in with the grades of automation.

Adapted from IEC-62290 for the purposes of demonstrating differences in the real-world operational application of the formal Grades of Automation (GoA1-4) defined in the standard.
Adapted from IEC-62290 for the purposes of demonstrating differences in the real-world operational application of the formal Grades of Automation (GoA1-4) defined in the standard.

The case study explored in more detail the actual staffing levels used or planned on participating metros’ automatic lines. The total number of operational staff was compared with the number of assets (stations and trains) in service, providing metros with a useful benchmarking metric that normalised for differences in line length and service level. A typology of staffing models was also developed and linked with associated staffing levels. This work on staffing was complemented by investigation into the technologies required to enable automation; their costs; and metros experiences with their reliability.

This research was presented as a poster at the 94th Transportation Research Board of the National Academies Annual Meeting in Washington DC, in 2015.