Teralytics Flow – AI Co-Pilot for public transport

Infrastructure Mobility Public Transport Regional Rail Transportation Planning

We are pleased to present Teralytics Flow at the UITP Congress 2025 in Hamburg. Teralytics Flow is designed as a co-pilot for public transport planners, linking travel demand data with APC data and supporting the rapid testing of supply scenarios.

Linking APC with overall mobility

Display and analyze APC data

Teralytics Flow makes it easy to integrate APC data and display it visually on a map and in graphs. This allows you to quickly identify routes and journeys with high or low capacity utilization.

Continuously measure public transport market shares

By integrating total mobility (that can come from suppliers like Streetlight Data, Replica or from your existing travel demand model) in combination with APC data, the market shares for each line can be easily calculated and monitored. This means that Teralytics Flow can be used to assess the impact of changes in services, marketing and tickets.

Overlay with reference data

Demand, public transport travel times, income, age distribution

Teralytics Flow makes it easy to graphically integrate additional reference data that is essential for the planning process. This currently includes the total number of trips (from sources like Streetlight Data, Replica or your own travel demand model), income data, car ownership, age distribution and public transport travel times. These data levels can be freely combined and filtered. The image shows, for example, the combination of public transport travel times from a zone with the number of outbound trips from the zone. This makes it possible to identify areas with high travel demand that are not yet optimally connected to the public transport network.

Easy travel time and market coverage scenarios

With full GTFS editor

Teralytics Flow offers a fully-fledged editor for network and timetables. This makes it easy to implement changes to the routing or timetables. Customized timetables can also be exported in GTFS format.

Weigh travel times with demand to measure market coverage

Flow then allows you to calculate the change in travel time for a supply scenario. Since the total number of trips between each zone is available in Flow, it is then possible to determine how many trips reach their destination how much faster with the modified public transport service.

AI Co-Pilot for public transport planners

An AI co-pilot provides support in Flow when dealing with complex planning issues. For example, in the image below, the Flow AI provides information for prioritizing public transport expansion based on the combination of demand and income data.

Learn more

Do you want to learn more? Book a meeting via this link.