CitySwift’s Mobility Intelligence as a Service platform will lead your journey to deliver bus networks of the future, powered by data.
Deliver a punctual service that balances supply and demand in the most cost-effective manner, reducing driver hours and making the most of your scheduling and network planning team’s expertise.
Increase profitability of each part of your network down to a stop-level, by offering a passenger-focused service with more appealing journey times, alongside boosted punctuality, and reliability.
Understand where investment should be made, and where it should be saved, by using passenger demand metrics as the key indicator for network planning decisions. Drive patronage with more convenient services that make the most of spend and resource.
Avoid the costly mistakes associated with quick decisions that end up on the road too soon. CitySwift’s suite gives you access to data faster than before, and the ability to test the impact of proposed changes before making a decision.
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.