How might we understand the daily behaviour of car-drivers? And use patterns to make public transport competitive and attract car drivers?
What we are working on
We want to unleash the power of real-time traffic data to improve the system of public and shared transport.
There is tons of data from cars and mobile-carrier.
By building an AI to find out patterns (time, wheather, trips, ..) we can compare individual vs. shared/public travel and improve those services.
Cockpit for Decision Makers
AI to find patterns and recommends measures
Measure impact of experiments
Friday Hack 30
Data to increase flexibility
Nicolas & Team
Towards Modal Split