CitySwift technology offers insights to win new contracts, support more competitive service, maximise incentive payments, and empower data-driven decisions with public authorities.
Track, monitor and automatically report network performance, including BODS data, and generate optimised runtimes. This informs resource decisions to mitigate risk in bidding, perform well in bids and service delivery, meet minimum performance standards.
Meet mobilisation milestones with AI-powered runtimes that enable you to adjust timetables and resource levels prior to deployment – based on the latest data profiles and modelling.
Generate runtimes that optimise timetables, while accessing dashboards to track, monitor, and report key metrics at scale and speed. Maximise performance incentive payments, offer data-driven advocacy with local authorities, and win new contracts.
Data-backed runtimes boost service punctuality, so driver jobs become less stressful. Runtimes reflect daily peaks and troughs, and remove unnecessary dwell time to accurately deploy vehicle requirements and improve timetable efficiency.
CitySwift’s dedicated engine will collect, analyse, clean, and connect your bus data with ease. For the first time, replace guesses and be empowered to make data-led decisions with confidence.
We come from a background of real-world bus industry experience. We merge this industry experience with deep knowledge of data science, to give bus networks the best of both worlds.
CitySwift’s platform is focused on the passenger and what they need and want – origin destination flows, demand based frequency and demand forecasting.
Access insights any time, anywhere, and deliver measurable return – whether it’s improved reliability and punctuality, cost savings, additional profit, or better allocated resources for your bus network.
Whether its location, scheduling, ticketing, public transport access points, localities and post codes, geographies, or events, CitySwift ingests it all for a more accurate and complete picture of routes, locations, demand, and performance of the network.
Bus data is notoriously patchy and unreliable. CitySwift's data engine team will infer invalid data, identify and correct location abnormalities, validate TxC files and convert to GTFS for more accurate visualisations.
CitySwift will join this newly processed and cleaned data sources together, and fill in gaps in the data. Avail of full pipeline management – always monitored by our team, with error notifications for quick resolution.
We add an extra layer of insight to your data. Bounding boxes for more accurate vehicle location, origin-destination analysis, and geospatial matching of trips without schedule adherence. We identify new stops in a service, route overlaps, and we infer dwell and trip records based on ticket data.