Zelra’s DAS is a single platform that functions in two modes. The first step is standalone DAS, which creates immediate benefits for operators from day one. Connected DAS (C-DAS) is the ultimate destination, where your connected network experiences the fullest safety and performance outcomes.
Your journey from DAS to C-DAS is incremental. It is delivered route-by-route and does not require a platform change, driver retraining, or any disruption to established workflows.
DAS is active across your fleet, offering in-cab speed guidance to drivers immediately. Safety and performance benefits flow while your infrastructure for network connection is put in place.
C-DAS adds live operational data from your Traffic Management Systems. Every train’s journey profile is dynamically recalculated as real-time running conditions change across the connected network.
By following DAS guidance on where to apply power, hold, coast, and brake, your drivers consistently complete journeys using less traction energy. Fuel and electricity consumption fall, with a corresponding reduction in carbon emissions. These proven benefits apply across diesel and electric fleets.
Energy is one of the largest controllable costs in train operation, and DAS reduces it without new rolling stock, infrastructure investment, or changes to the timetable.
Implementing DAS unlocks a range of immediate benefits across your rail operations.
Encountering an unexpected speed restriction is a common cause of overspeeding. DAS presents upcoming and current speed restrictions in the cab, with distance and context. Drivers pace their approach steadily rather than correcting late, with the restriction visible on the driver tablet or screen at the right time during each journey.
DAS is a decision support tool providing clear, timely information about the route ahead. Guidance is presented in a glanceable format within the cab as the journey progresses, increasing the driver's situational awareness which reduces stress and cognitive workload. DAS acts purely as an advisory aid, with the driver always retaining full authority over the train.
DAS uses a physics-based algorithm to calculate an optimal journey profile from route topography, planned timetable, speed limits, train performance characteristics, and live GPS positioning. Drivers following this advice have greater confidence about approaching signals and stations on schedule. As a result, passengers enjoy services that run to time, and operators benefit from more consistent performance against KPIs.
Every driver receives the same advice for the same service, based on the timetable, route characteristics, and train performance data. Variation between individuals, shifts, and traction types narrows over time. DAS supports route learning for trainee drivers, who gain a reliable source of in-cab support alongside their developing route knowledge.
Smoother power and brake application reduces wear on traction and braking systems. Component wear becomes more consistent across the fleet, and less dependent on individual driving style. This supports longer component life and makes maintenance planning more predictable, although the scale of the effect varies by fleet and route.
Each journey generates data on the advice given, the speed profile achieved, and adherence to plan. Operators can review performance at route, fleet, or service level, and apply the same data to driver coaching and development. Those who use it actively see the greatest benefit.
Real-time advice for drivers to support right time running and smoother train handling while reducing energy costs.
Train connectivity reduces red signal stops, predicts conflicts at junctions, and adjusts approach ETAs.
Make entire rail networks more efficient by optimising train movements through complex junctions.
Coming soon
Get more accurate energy consumption information that can be used for reporting purposes and savings estimates.
Out for customer review
Multi-track feature access simplified for existing DAS/Unify customer in the UK.
Future roadmap
Allow for customers to see their mapped network of track used by DAS. Enable customers to detect any track data related issues and report these issues for quick correction, increasing DAS accuracy and benefits, while also improving drivers adoption and satisfaction.
Future roadmap
Electric railways can be a significant load on the grid, especially during peak times like extremely hot or cold weather. You can significantly reduce energy costs and help with electricity grid balancing. DAS coordinates all trains on a network to reduce peak power demand. During peak times, DAS temporarily slows some trains with minimal disruptions to the schedule.
In scoping
Unify will be powered by AI to enhance data accuracy, uncover patterns, and enable smarter decision-making. Such as:
- Data validation and sanitisations
- Adaptive train profiling
- Automation and future intelligence
Future roadmap
We're working with UniSA to develop advanced energy management solutions within UNIFY, enabling smarter battery usage and operations efficiency.