Galway, 6th August 2026 - CitySwift is redefining how public transport networks are managing performance. The leading performance optimisation platform today announces a significant extension to its simulation capabilities, enabling operators and authorities to model the complete timetable before any changes reach the road.
CitySwift's analysis and simulations now cover headway as well as runtimes, unlocking full timetable modelling. Previously, CitySwift could only simulate changes proposed directly within the platform. Now, the workflow is a complete closed loop: users can take CitySwift’s recommendations, build the schedule in their scheduling system, and reimport that final schedule back into CitySwift for review. This allows the exact schedule to be simulated and validated before launch, giving operators and authorities total confidence that it will perform as intended.
The new offerings build on CitySwift’s existing functionality to generate and simulate AI-powered runtimes, all backed by CitySwift’s data engine that collects, analyses, cleans, and connects the transport network’s data.
Speaking on today’s announcement, Brian O’Rourke, CEO and Co-founder of CitySwift, said: “Everything we do at CitySwift is about breaking the cycle of underperformance. A timetable that doesn't reflect reality leads to unreliable service, eroding trust, shrinking revenue, and less investment to fix it. Full timetable simulation is the most direct expression of that mission we've ever delivered. You can't control what you can't see. Now operators and authorities can see the complete picture before anything changes on the road.”
Powered by intelligent data processing, CitySwift optimises over 3.3 billion passenger trips annually. CitySwift’s platform removes obstacles to accessing transportation data, empowering teams with rapid and reliable performance insights that support better decisions for operators, authorities, and passengers alike.
Gearoid Hynes, VP of Product at CitySwift, added: "The bus industry has been building timetables based on historical experience for decades and finding out whether they work by putting them on the road. That’s not a skill problem, it’s a data science problem. We now have the capability to show operators and authorities exactly what a timetable will do before it’s live. That changes the conversation between them fundamentally.”
