COMPANY: Logistics Matthias Brunner


PROJECT: FI-OMT, OptiMetroTraf Optimizing Metropolitan Traffic by anticipating and bundling of traffic volumes





ROSY is an easy to use mobile app providing commuters with accurate predictions on traffic conditions, combining the data from traffic light servers, community work department, weather forecast and police channels.


The gathered data helps cities improve their traffic models and planning, while keeping commuters informed about road work, expected traffic jams (one day ahead), as well on the time and cost advantages of using public transports.


ROSY algorithms analyze traffic patterns and make predictions possible, while offering alternative routes to users.


SROSY has been tested in partnership with the City of Stuttgart.