• By filling in missing transport data
• By correcting inaccurate transport data (eg incorrect location)
• By correcting confusing information (eg naming logical stops in a coherent way).

Public transportation, personal cars, carsharing, carpooling, walking, parking, taxis, all types of on-demand transportation, virtual route, feeder, feeder services with schedule constraints, zonal stop to stop, zonal point to point, Flex, on-street and off-street car parking, free-floating bikes & scooters, flights, electric vehicles …

Integrating real-time and predictive data which can impact travelers’ journeys (traffic, parking availability, events and external parameters such as weather), to inform them in real time about the most suitable solution, any incidents likely to affect their journey and alternative mobility options.

Our tool allows you to quickly share information in order to optimise incident management while keeping the general public informed​.

Via crowdsourcing (damaged bus shelters, diversions and delays, changes due to weather, bus passenger crowding, etc) or directly, via validations and unlocking actions recorded in the app.

Based on big data and artificial intelligence technologies, integrating all current modes including road traffic and public transportation.

Data such as travel time and routes most used by travelers, thanks to our multimodal, real-time & predictive Trip Planner.

Field data (eg, altitude differences), demographics (eg, number of inhabitants), data on air quality and weather conditions.