Flexible & Customizable Input.
Any kind of data source
Any type of data source can be assimilated. So far the following sources have been made accessible: open streetmap, openLR, loop detectors, bluetooth, floating car data, radar detector, video, weather imagery, structured feeds e.g. RSS, Datex2, unstructured data from twitter or websites. In general connecting to an API, accessing a known database or assimilating data directly from a collection of sensors is a routine task. And more is on the way.
Past Present & Future Analytics
Trackers & Algorithms
We use trackers to record and predict all types of congestion. A tracker is our construct to record any type of geo/spatial phenomena and we have applied it to congestion. We use trackers for regular (bottleneck) congestion, urban queues, shockwaves and incidents. We use databases of historically observed congestion for our past analytics or as input to our prediction engine and always have trackers follow the current state of traffic on our networks.
Disseminate via HTML5 or API
Desktop, Mobile & API
All information is made accessible via internet on our traffic browser Dante, just like Google maps but with a dynamic map that changes when you change the time slider. It is accessible on all html5 capable device, secure, build on standards such as leaflet, meteor and nodeJS. In the past 7 years we have learned how to visualize data in such a way it is kept understandable.