The specialist data engine

driving mass transit networks

Optimize mass transit networks for efficiency, profitability and growth

Created and supported by mass transit experts, CitySwift uses big data, artificial intelligence and machine learning to increase network performance, service reliability and passenger satisfaction.

The CitySwift transit data engine augments and seamlessly integrates with existing transit technology systems, providing a deeper understanding of network performance and enhanced network planning with significantly reduced timescales.

Instantly visualize and automatically report a customizable suite of detailed performance, efficiency and ridership metrics; accurately predict journey times and capacity levels; and create optimized timetables that balance vehicle supply with passenger demand.




reporting-dashboard

Why use CitySwift?

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IMPROVE NETWORK EFFICIENCY
Use big data and machine learning to improve on-time performance and increase passenger satisfaction.
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DRIVE PROFITABILITY AND GROWTH
Optimize your transit network to reduce operating costs and maximize profitability.
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BUILD ON EXISTING INVESTMENTS
Augment and enhance your existing technology stack to glean additional value from previous investments.

CitySwift Customers

Go-Ahead Group
National Express Bus
Ascendal
Bluestar
Brighton & Hove
Chambers
Plymouth Citybus
East Yorkshire
Go North East
Go North West
Hedingham
Konnectbus
Metrobus
More
Oxford Bus Company
Norwich Park & Ride
Swindon's Bus Company
Vectis

CitySwift news

News
30 October, 2020
"Tech rides to transit’s rescue."
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News
28 October, 2020
"MTA selects companies to bring high-tech COVID-19 solutions, including air purification and crowd monitoring."
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Increase the performance of your transit network

Resources